MENU
- Inicio
- Sobre nosotros
- Personas
- Líneas de investigación
- nlp-y-analisis-de-sentimientos
NLP y Análisis de Sentimientos
Description
En este área trabajamos en el análisis de sentimientos y emociones en redes sociales, en la búsqueda semántica y en interfaces NLP.
En este campo se trabaja en el desarrollo de herramientas para procesamiento de textos en español (proyectos ARIES, CRATER, ATILA y ACORDEON). En estos proyectos se han desarrollado:
- Recursos léxicos: La plataforma ARIES, con más de 40.000 lemas del español, cubriendo más de 500.000 formas flexivas.
- Herramientas: Librerías de utilidades para la construcción de aplicaciones. En particular, acceso y gestión eficiente de grandes volúmenes léxicos, analizadores morfológicos, etiquetadores, analizadores sintácticos, etc.
- Aplicaciones: construidas a partir de las herramientas disponibles. Entre ellas destacan aplicaciones de indexación y recuperación de información, corrección ortográfica, verificación estilística, etc.
- Análisis de sentimientos y de emociones, en los proyectos EuroSentiment y Financial Twitter Tracker.
- Asistentes personales que combinan tecnologías Pregunta-Respuesta (QA), Búsqueda basada en Big Data y tecnologías de agentes inteligentes.
En el área de análisis de sentimientos y emociones, GSI está trabajando en dos líneas:
- Aplicación de tecnologías semánticas en análisis de sentimientos.
- Aplicación de técnicas de análisis de redes sociales para el análisis de la influencia y propagación de sentimientos y emociones.
Como resultado de esta investigación, GSI co-preside el grupo de la comunidad 'Modelos de la Web de Datos para Análisis de Sentimientos y Emociones', y ha definido los vocabularios Marl y Onyx para la representación, enlazado y razonamiento sobre sentimentos y emociones, respectivamente.
Publications Ver más
-
Exploiting Content Characteristics for Explainable Detection of Fake News
Sergio Muñoz López & Carlos A. Iglesias. (2024). Exploiting Content Characteristics for Explainable Detection of Fake News. Big Data and Cognitive Computation, 8 (4), 1-18. -
Development of a Fake News Detection System using Ma- chine Learning and Natural Language Processing Techniques
Beatriz Hernandez-Fonta Codesido. (2024). Development of a Fake News Detection System using Ma- chine Learning and Natural Language Processing Techniques. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid. -
Using Enhanced Representations to Predict Medical Procedures from Clinician Notes
Roberto Móstoles Rodríguez, Oscar Araque & Carlos A. Iglesias. (2024). Using Enhanced Representations to Predict Medical Procedures from Clinician Notes. Applied Sciences, 14 (15). -
Development of a Dashboard for Sports Betting Tipsters Analysis
Juan Serrano Zapatero. (2024). Development of a Dashboard for Sports Betting Tipsters Analysis. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and Development of a Browser Plugin for Analysing Moral Emotions based on Intelligent Text Analytics
Pablo Fernández Fraile. (2024). Design and Development of a Browser Plugin for Analysing Moral Emotions based on Intelligent Text Analytics. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and Development of an Emotion-Driven Song Recommendation System for Music Therapy
Roshni Mahtani Vashdev. (2024). Design and Development of an Emotion-Driven Song Recommendation System for Music Therapy. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid. -
Development of a Moral Foundations Estimation System based on Natural Language Processing Techniques and Transformer Models
Anny Álvarez Nogales. (2024). Development of a Moral Foundations Estimation System based on Natural Language Processing Techniques and Transformer Models. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid. -
Design and Development of a Conversational Anamnesis Application for Structured Patient Symptom Recording and Analysis
David Brau Queralt. (2024). Design and Development of a Conversational Anamnesis Application for Structured Patient Symptom Recording and Analysis. Trabajo de fin de carrera. Universidad Politécnica de Madrid. -
Towards a Multilingual System for Vaccine Hesitancy Using a Data Mixture Approach
Oscar Araque, Mª Felipa Ledesma Corniel & Kyriaki Kalimeri (2023). Towards a Multilingual System for Vaccine Hesitancy Using a Data Mixture Approach. In CEUR (editor), Italian Conference on Computational Linguistics. -
EMit at EVALITA 2023: Overview of the Categorical Emotion Detection in Italian Social Media Task
Oscar Araque, Simona Frenda, Rachele Sprugnoli, Debora Nozza & Viviana Patti (2023). EMit at EVALITA 2023: Overview of the Categorical Emotion Detection in Italian Social Media Task. In CEUR (editor), Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. -
Contextualization of a Radical Language Detection System Through Moral Values and Emotions
Alonso del Real, P. & Oscar Araque. (2023). Contextualization of a Radical Language Detection System Through Moral Values and Emotions. IEEE Access, 11, 119634 - 119646. -
Improving Mental and Emotional Wellbeing based on Intelligent Techniques. Application to the case of Smart Offices
Sergio Muñoz López. (2023). Improving Mental and Emotional Wellbeing based on Intelligent Techniques. Application to the case of Smart Offices. Tesis doctoral. Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and development of a visualization tool for analyzing Jihadist sources using the visual analytics platform Tableau
Nicolás López Cano. (2023). Design and development of a visualization tool for analyzing Jihadist sources using the visual analytics platform Tableau. Trabajo de fin de carrera (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Development of an Inmersive Emotion-aware system
José Ignacio Mora Pérez. (2023). Development of an Inmersive Emotion-aware system. Trabajo de fin de carrera (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
A Toxic Style Transfer Method Based on the Delete–Retrieve–Generate Framework Exploiting Toxic Lexicon Semantic Similarity
Martín Iglesias Goyanes, Oscar Araque & Carlos A. Iglesias. (2023). A Toxic Style Transfer Method Based on the Delete–Retrieve–Generate Framework Exploiting Toxic Lexicon Semantic Similarity. Applied Sciences, 13 (8590), app13158590. -
Development of a COVID-19 Misinformation Detection System using Machine Learning and Natural Language Processing Techniques
Óscar Parro Sainz. (2023). Development of a COVID-19 Misinformation Detection System using Machine Learning and Natural Language Processing Techniques. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Study and Detection of Anti-Vaccine Language on Social Media using Natural Language Processing Techniques
Mª Felipa Ledesma Corniel. (2023). Study and Detection of Anti-Vaccine Language on Social Media using Natural Language Processing Techniques. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Development and evaluation of a Natural Language Processing system for radical propaganda detection using the Moral Foundations Theory and Affect Analysis
Alonso del Real, P. (2023). Development and evaluation of a Natural Language Processing system for radical propaganda detection using the Moral Foundations Theory and Affect Analysis. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Development and Evaluation of a Mental Health Detection System on Social Media Posts using Natural Language Processing and Machine Learning Techniques
Andrea Laguna Liang. (2023). Development and Evaluation of a Mental Health Detection System on Social Media Posts using Natural Language Processing and Machine Learning Techniques. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Advanced Analysis Technologies for Social Media
Barbara Guidi, Carlos A. Iglesias, Giulio Rossetti & Kevin Koidi. (2023). Advanced Analysis Technologies for Social Media. Applied Sciences, 13 (3), 1909. -
Detection of the Severity Level of Depression Signs in Text Combining a Feature-Based Framework with Distributional Representations
Sergio Muñoz López & Carlos A. Iglesias. (2023). Detection of the Severity Level of Depression Signs in Text Combining a Feature-Based Framework with Distributional Representations. Applied Sciences, 13 (21), 11695. -
A text classification approach to detect psychological stress combining a lexicon-based feature framework with distributional representations
Sergio Muñoz López & Carlos A. Iglesias. (2022). A text classification approach to detect psychological stress combining a lexicon-based feature framework with distributional representations. Information Processing & Management, 59 (5), 103011. -
Development of a Machine Learning System for Detection and Analysis of Eating Disorder in Social Media ( Copy)
Javier Antón Yuste. (2022). Development of a Machine Learning System for Detection and Analysis of Eating Disorder in Social Media ( Copy). Trabajo de fin de carrera. Universidad Politécnica de Madrid. -
Development of a System for Analysis of the Effect of Vocabularies on the Effectiveness of Radical Text Detection
Dhiraj Tejwani Jethani. (2022). Development of a System for Analysis of the Effect of Vocabularies on the Effectiveness of Radical Text Detection. Trabajo de fin de carrera. Grupo de Sistemas Inteligentes, Universidad Politécnica de Madrid. -
Development of a Machine Learning System for Predicting Stress at the Workplace
Pablo Sainz San Juan. (2022). Development of a Machine Learning System for Predicting Stress at the Workplace. Trabajo de fin de carrera. Universidad Politécnica de Madrid. -
Design and Development of a Machine Learning System for the Detection of Propaganda in Radical Texts using Transformers
Pablo Real Baeza. (2022). Design and Development of a Machine Learning System for the Detection of Propaganda in Radical Texts using Transformers. Trabajo de fin de carrera. -
Design and Development of a Conversational-driven System for Unmasking health Fake News using Data Mining Techniques
Inés El Khloufi Larrán. (2022). Design and Development of a Conversational-driven System for Unmasking health Fake News using Data Mining Techniques. Trabajo de fin de carrera. -
LibertyMFD: A Lexicon to Assess the Moral Foundation of Liberty
Oscar Araque, Lorenzo Gatti & Kyriaki Kalimeri (2022). LibertyMFD: A Lexicon to Assess the Moral Foundation of Liberty. In GoodIT '22: Proceedings of the 2022 ACM Conference on Information Technology for Social Good, pages 154-160. ACM. -
Prediction of stress levels in the workplace using surrounding stress
Sergio Muñoz López, Carlos A. Iglesias, Oscar Mayora & Venet Osmani. (2022). Prediction of stress levels in the workplace using surrounding stress. Information Processing & Management, 59 (6), 103064. -
Making Sense of Language Signals for Monitoring Radicalization
Oscar Araque, J. Fernando Sánchez-Rada, Álvaro Carrera Barroso, Carlos A. Iglesias, Jorge Tardío Rubio, Guillermo García Grao et al. (2022). Making Sense of Language Signals for Monitoring Radicalization. Applied Sciences, 12 (8143), 1-27. -
Green Areas: The Secret of the Happiness of the People of Madrid
de Vega Fernández, D., Oscar Araque & Carlos A. Iglesias. (2022). Green Areas: The Secret of the Happiness of the People of Madrid. Telecom, 3, 514-525. -
O-Dang! The Ontology of Dangerous Speech Messages
Marco A. Stranisci, Simona Frenda, Mirko Lai, Oscar Araque, Alessandra T. Cignarella, Valerio Basile et al (2022). O-Dang! The Ontology of Dangerous Speech Messages. In Proceedings of the SALLD-2 Workshop @LREC2020. -
Development of a Technological Surveillance Tool agains the Spread of Terrorist ideologies, based on Natural Language Processing and Machine Learning
Álvaro Díaz Del Mazo. (2022). Development of a Technological Surveillance Tool agains the Spread of Terrorist ideologies, based on Natural Language Processing and Machine Learning. Trabajo de fin de carrera (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and Development of a Browser Plugin for Intelligent Text Analytics
del Pozo Díaz, M. (2022). Design and Development of a Browser Plugin for Intelligent Text Analytics. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Development of an on-device deep learning textual analytics application using the Android Platform
Ramón Hernández García. (2022). Development of an on-device deep learning textual analytics application using the Android Platform. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
GSITK: A sentiment analysis framework for agile replication and development
Oscar Araque, J. Fernando Sánchez-Rada & Carlos A. Iglesias. (2022). GSITK: A sentiment analysis framework for agile replication and development. SoftwareX, 6. -
Transfer Learning with Social Media Content in the Ride-Hailing Domain by Using a Hybrid Machine Learning Architecture
de Pablo Marsal, Á., Oscar Araque & Carlos A. Iglesias. (2022). Transfer Learning with Social Media Content in the Ride-Hailing Domain by Using a Hybrid Machine Learning Architecture. Electronics, 11 (2), 23. -
An Ensemble Method for Radicalization and Hate Speech Detection Online Empowered by Sentic Computing
Oscar Araque & Carlos A. Iglesias. (2022). An Ensemble Method for Radicalization and Hate Speech Detection Online Empowered by Sentic Computing. Cognitive Computation, 14, 48-61. -
Design and Development of a Causal Inference Machine Learning System based on Textual Data
Daniel Vera Nieto. (2021). Design and Development of a Causal Inference Machine Learning System based on Textual Data. Trabajo de fin de carrera (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Sentiment Analysis meets Linguistic Linked Data: An overview of the State of the Art
Carlos A. Iglesias & J. Fernando Sánchez-Rada (2021). Sentiment Analysis meets Linguistic Linked Data: An overview of the State of the Art. In Sara Carvalho & Renato Rocha Souza (editors), Proceedings of the Workshops and Tutorials - Language Data and Knowledge 2021 co-located with the Language, Data and Knowledge Conference (LDK 2021), pages 1-14. CEUR. -
Understanding Customers’ Transport Services with Topic Clustering and Sentiment Analysis
Alejandro Moreno García & Carlos A. Iglesias. (2021). Understanding Customers’ Transport Services with Topic Clustering and Sentiment Analysis. Applied Sciences, 11 (10169), 1-18. -
Design and Development of a Classification and Detection System of Malicious Emails with NLP
Guillermo Canete Riaza. (2021). Design and Development of a Classification and Detection System of Malicious Emails with NLP. Trabajo de fin de carrera. Universidad Politécnica de Madrid. -
Design and Development of a Machine Learning System for Opinion and Natural Language Analysis in Social Media. Application to the Ride-Hailing and Radicalization Domains
de Pablo Marsal, Á. (2021). Design and Development of a Machine Learning System for Opinion and Natural Language Analysis in Social Media. Application to the Ride-Hailing and Radicalization Domains. Trabajo de fin de carrera. -
GSI-UPM at IberLEF2021: Emotion Analysis of Spanish Tweets by Fine-tuning the XLM-RoBERTa Language Model
Daniel Vera Nieto, Oscar Araque & Carlos A. Iglesias (2021). GSI-UPM at IberLEF2021: Emotion Analysis of Spanish Tweets by Fine-tuning the XLM-RoBERTa Language Model. In CEUR (editor), pages 16-26. -
Design and Development of a Mental Illness Recognition System for Detecting Stress and Depression from Text
Nicolás López Cano. (2021). Design and Development of a Mental Illness Recognition System for Detecting Stress and Depression from Text. Trabajo de fin de carrera (TFM). Universidad Politécnica de Madrid, ETSI de Telecomunicación. -
Sentiment Analysis meets Linguistic Linked Data: An overview of the State of the Art
Carlos A. Iglesias & J. Fernando Sánchez-Rada (2021). Sentiment Analysis meets Linguistic Linked Data: An overview of the State of the Art. In Proceedings of the 1st Workshop on Sentiment Analysis & Linguistic Linked Data. Zaragoza, Spain : OASics (OpenAccess Series in Informatics). -
Generation and Evaluation of Lexicons Focused on HateSpeech using Deep Neural Networks
David Algarra Medina. (2021). Generation and Evaluation of Lexicons Focused on HateSpeech using Deep Neural Networks. Trabajo de fin de carrera (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and Development of a Platform to Track Sustainable Mobility Social Trends
Martín González Calvo. (2021). Design and Development of a Platform to Track Sustainable Mobility Social Trends. Trabajo de fin de carrera (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and development of a system for feelings characterization in parks using Social Media Mining
de Vega Fernández, D. (2021). Design and development of a system for feelings characterization in parks using Social Media Mining. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Analysis and Design of a Topic clustering system based on Genetic Algorithms for analyzing Customer Voice in Transport Services
Alejandro Moreno García. (2021). Analysis and Design of a Topic clustering system based on Genetic Algorithms for analyzing Customer Voice in Transport Services. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
The Language of Liberty: A preliminary study
Oscar Araque, Lorenzo Gatti & Kyriaki Kalimeri (2021). The Language of Liberty: A preliminary study. In Companion Proceedings of the Web Con-ference 2021 (WWW ’21 Companion). -
Design and Implementation of a ChatOps Environment using the Framework Rasa
Ignacio Cervantes. (2021). Design and Implementation of a ChatOps Environment using the Framework Rasa. Trabajo de fin de carrera (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Development of a Lyrics Creation Assistant Tool Based on NLP Techniques
Guillermo Mejías Izquierdo. (2020). Development of a Lyrics Creation Assistant Tool Based on NLP Techniques. Trabajo de fin de carrera. Universidad Politécnica de Madrid. -
A Distributional Semantics Perspective of Lexical Resources for Affect Analysis: An application to Extremist Narratives
Oscar Araque. (2020). A Distributional Semantics Perspective of Lexical Resources for Affect Analysis: An application to Extremist Narratives. Tesis doctoral. Universidad Politécnica de Madrid, ETSI Telecomunicación. -
On the use of Jargon and Word Embeddings to Explore Subculture within the Reddit’s Manosphere
Tracie Farrell, Oscar Araque, Miriam Fernandez & Harith Alani (2020). On the use of Jargon and Word Embeddings to Explore Subculture within the Reddit’s Manosphere. In Proceedings of the WebSci '20: 12th ACM Conference on Web Science. Southamption, United KIngdom : ACM. -
JAICOB: A Data Science Chatbot
Daniel Carlander-Reuterfelt Gallo, Álvaro Carrera Barroso, Carlos A. Iglesias, Oscar Araque, J. Fernando Sánchez-Rada & Sergio Muñoz López. (2020). JAICOB: A Data Science Chatbot. IEEE Access, 8, 180672-180680. -
Application of Natural Language Processing techniques for biomedical document classification
Antonio Ochotorena Laynez. (2020). Application of Natural Language Processing techniques for biomedical document classification. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Development of a Mobile Mood Detector based on Machine Learning Techniques
Jorge García-Castaño. (2020). Development of a Mobile Mood Detector based on Machine Learning Techniques. Trabajo de fin de carrera (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and development of a monitoring system for Spanish political tweets in COVID-19 emergency
Daniel Lledo Raigal. (2020). Design and development of a monitoring system for Spanish political tweets in COVID-19 emergency. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Predicting Reputation in the Sharing Economy with Twitter Social Data
Toni Prada & Carlos A. Iglesias. (2020). Predicting Reputation in the Sharing Economy with Twitter Social Data. Applied Sciences, 10 (2881), 1-18. -
Sentiment Analysis for Social Media
Carlos A. Iglesias & Antonio Moreno (2020). Sentiment Analysis for Social Media. In Carlos A. Iglesias & Antonio Moreno (editors). MDPI. -
CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community Detection
J. Fernando Sánchez-Rada & Carlos A. Iglesias. (2020). CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community Detection. Applied Science, 10 (5), 1662. -
Radical Text Detection Based on Stylometry
de Pablo Marsal, Á., Oscar Araque & Carlos A. Iglesias (2020). Radical Text Detection Based on Stylometry. In Proceedings of International Conference on Information Systems Security and Privacy. Valletta, Malta : ScitePress. -
Sentiment and Emotion Analysis in Social Networks: modeling and linking data, affects and people
J. Fernando Sánchez-Rada. (2020). Sentiment and Emotion Analysis in Social Networks: modeling and linking data, affects and people. Tesis doctoral. Universidad Politécnica de Madrid. -
An Approach for Radicalization Detection based on Emotion Signals and Semantic Similarity
Oscar Araque & Carlos A. Iglesias. (2020). An Approach for Radicalization Detection based on Emotion Signals and Semantic Similarity. IEEE Access, 8, 17877 - 17891. -
MoralStrength: Exploiting a moral lexicon and embedding similarity for moral foundations prediction
Oscar Araque, Lorenzo Gatti & Kyriaki Kalimeri. (2020). MoralStrength: Exploiting a moral lexicon and embedding similarity for moral foundations prediction. Knowledge-Based Systems. -
Design and Development of a Lexicon-based Emotion Classifier for the Sports Domain on Twitter
Luis García. (2019). Design and Development of a Lexicon-based Emotion Classifier for the Sports Domain on Twitter. Trabajo de fin de carrera. Universidad Politécnica de Madrid. -
Development of an OCR-based text recognition solution using Deep Learning
Raffaele Perini. (2019). Development of an OCR-based text recognition solution using Deep Learning. Trabajo de fin de carrera (TFM (EIT-SSA)). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Sentiment Analysis for Social Media
Carlos A. Iglesias & Antonio Moreno. (2019). Sentiment Analysis for Social Media. MDPI. -
DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques
Oscar Araque, Lorenzo Gatti, Jacopo Staiano & Marco Guerini. (2019). DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques. IEEE Transactions on Affective Computing. -
Sentiment Analysis for Social Media
Carlos A. Iglesias & Antonio Moreno. (2019). Sentiment Analysis for Social Media. Applied Sciences, 9 (23), 5037. -
Senpy: A framework for semantic sentiment and emotion analysis services
J. Fernando Sánchez-Rada, Oscar Araque & Carlos A. Iglesias. (2019). Senpy: A framework for semantic sentiment and emotion analysis services. Knowledge-Based Systems. -
Social context in sentiment analysis: Formal definition, overview of current trends and framework for comparison
J. Fernando Sánchez-Rada & Carlos A. Iglesias. (2019). Social context in sentiment analysis: Formal definition, overview of current trends and framework for comparison. Information Fusion, 52, 344-356. -
Design and development of a developer sentiment analysis system based on GitHub commit comments
Adrián González Hernando. (2019). Design and development of a developer sentiment analysis system based on GitHub commit comments. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Development of a Mobile Nutritional Assistant for Supermarkets with the technology DialogFlow
Luis Caballero. (2019). Development of a Mobile Nutritional Assistant for Supermarkets with the technology DialogFlow. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and Development of an Emotion-aware Learning Analytics system based on Machine Learning Techniques and Semantic Task Automation
Enrique Sánchez Tolbaños. (2019). Design and Development of an Emotion-aware Learning Analytics system based on Machine Learning Techniques and Semantic Task Automation. Trabajo de fin de carrera (Master thesis). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter
Diego Benito-Sánchez, Oscar Araque & Carlos A. Iglesias (2019). Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter. In Proceedings of SemEval 2019. Minneapolis, USA. -
Design and Development of a Hate Speech Detector in Social Networks Based on Deep Learning Technologies
Diego Benito-Sánchez. (2019). Design and Development of a Hate Speech Detector in Social Networks Based on Deep Learning Technologies. Trabajo de fin de carrera (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Development of an Event Detector in Twitter Streams based on Mention-Anomaly Detection for the City of Madrid
Luis Cristóbal López García. (2019). Development of an Event Detector in Twitter Streams based on Mention-Anomaly Detection for the City of Madrid. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and Development of a Stylometry Library for Texts in Spanish and English. Application to Terrorist and Radical Texts.
de Pablo Marsal, Á. (2019). Design and Development of a Stylometry Library for Texts in Spanish and English. Application to Terrorist and Radical Texts.. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
A framework for fake review detection in online consumer electronics retailers
Rodrigo Barbado, Oscar Araque & Carlos A. Iglesias. (2019). A framework for fake review detection in online consumer electronics retailers. Information Processing and Management, 56 (4), 1234-1244. -
Design of a facial emotion recognition system using Deep Learning techniques
Ignacio Ramos. (2019). Design of a facial emotion recognition system using Deep Learning techniques. Trabajo de fin de carrera (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Development and Evaluation of a Sarcasm Detection Algorithm based on Machine Learning and Natural Language Processing Techniques
Julián Amigó Francés. (2019). Development and Evaluation of a Sarcasm Detection Algorithm based on Machine Learning and Natural Language Processing Techniques. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Development of a Big Data system for analysis and visualization of social media based on REST services
Alberto Pascual-Saavedra. (2019). Development of a Big Data system for analysis and visualization of social media based on REST services. Trabajo de fin de carrera (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and implementation of a Social Media Monitoring Web Application based on React framework and Elasticsearch
Álvaro Fernández Rivero. (2019). Design and implementation of a Social Media Monitoring Web Application based on React framework and Elasticsearch. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Development of a Sarcasm Classifier based on Machine Learning Techniques
Álvarez Fernández del Vallado, J. (2019). Development of a Sarcasm Classifier based on Machine Learning Techniques. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Analysis and Development of a Personal Dashboard for Emotion Tracking
Carlos Marzal Romón. (2019). Analysis and Development of a Personal Dashboard for Emotion Tracking. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
A Semantic Similarity-Based Perspective of Affect Lexicons for Sentiment Analysis
Oscar Araque, Ganggao Zhu & Carlos A. Iglesias. (2019). A Semantic Similarity-Based Perspective of Affect Lexicons for Sentiment Analysis. Knowledge Based Systems. -
DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques
Oscar Araque, Lorenzo Gatti, Jacopo Staiano & Marco Guerini. (2018). DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques.. -
How well do Spaniards sleep? Analysis of Sleep Disorders based on Twitter mining
Daniel Suárez, Oscar Araque & Carlos A. Iglesias (2018). How well do Spaniards sleep? Analysis of Sleep Disorders based on Twitter mining. In Proceedings of SNAMS 2018, pages 11-18. Valencia, Spain : IEEE. -
Editorial for the Special Issue on “Love & Hate in the Time of Social Media and Social Networks”
Carlos A. Iglesias & Viviana Patti. (2018). Editorial for the Special Issue on “Love & Hate in the Time of Social Media and Social Networks”. Information, 9 (8), 184. -
Design of a Prototype of a Big Data Analysis System of Online Radicalism based on Semantic and Deep Learning technologies
Rodrigo Barbado. (2018). Design of a Prototype of a Big Data Analysis System of Online Radicalism based on Semantic and Deep Learning technologies. Trabajo de fin de carrera (TFM). Universidad Politécnica de Madrid, ETSIT, Madrid. -
Design and Development of a Machine Learning Classifier of ISIS Terrorist Texts
Álvarez de Sotomayor Vergara, M. (2018). Design and Development of a Machine Learning Classifier of ISIS Terrorist Texts. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSIT, Madrid. -
Design and development of a system for sleep disorder characterization using Social Media Mining
Daniel Suárez. (2018). Design and development of a system for sleep disorder characterization using Social Media Mining. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSIT, Madrid. -
MixedEmotions: An Open-Source Toolbox for Multi-Modal Emotion Analysis
Paul Buitelaar, Ian D. Wood, Mihael Arcan, John P. McCrae, Andrejs Abele, Cécile Robin et al. (2018). MixedEmotions: An Open-Source Toolbox for Multi-Modal Emotion Analysis. IEEE Transactions on Multimedia, 20 (9), 2454-2465. -
Design and development of a classification system of political messages in social networks using Natural Language Processing and Machine Learning techniques
Carlos Bermúdez Cruces. (2018). Design and development of a classification system of political messages in social networks using Natural Language Processing and Machine Learning techniques. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación, Madrid. -
Development of a YouTube videos feelings analiser
José Miguel Valle Salas. (2018). Development of a YouTube videos feelings analiser. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación, Madrid. -
Design and Implementation of an embodied cognitive conversational agent for assisting in a web site based on the API.AI conversational platform.
Ángel Silván. (2018). Design and Implementation of an embodied cognitive conversational agent for assisting in a web site based on the API.AI conversational platform.. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación, Madrid. -
Design and development of a System for Detecting Cyberbullying in Twitter based on Machine Learning Techniques
Jaime Palos. (2018). Design and development of a System for Detecting Cyberbullying in Twitter based on Machine Learning Techniques. Trabajo de fin de carrera (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación, Madrid. -
Design and Evaluation of a Conversational Agent Prototype based on Recurrent Neural Networks using Tensorflow.
Diego San Cristobal. (2018). Design and Evaluation of a Conversational Agent Prototype based on Recurrent Neural Networks using Tensorflow.. Trabajo de fin de carrera (Master Thesis). Universidad Politécnica de Madrid, ETSI Telecomunicación, Madrid. -
Development of a Deep Learning Based Sentiment Analysis and Evaluation Service
Ignacio Corcuera-Platas. (2018). Development of a Deep Learning Based Sentiment Analysis and Evaluation Service. Trabajo de fin de carrera (Master Thesis). Universidad Politécnica de Madrid, ETSI Telecomunicación, Madrid. -
Neural Domain Adaptation of Sentiment Lexicons
Oscar Araque, Marco Guerini, Carlo Strapparava & Carlos A. Iglesias (2017). Neural Domain Adaptation of Sentiment Lexicons. In Proceedings of ACII 2017. San Antonio, Texas, USA. -
Applying Recurrent Neural Networks to Sentiment Analysis of Spanish Tweets
Oscar Araque, Rodrigo Barbado, J. Fernando Sánchez-Rada & Carlos A. Iglesias (2017). Applying Recurrent Neural Networks to Sentiment Analysis of Spanish Tweets. In Ceur WS (editor). -
Design and Development of an Age Classification System of Twitter Users Based on Machine Learning Techniques
Alberto Marqués-Alba. (2017). Design and Development of an Age Classification System of Twitter Users Based on Machine Learning Techniques. Trabajo de fin de carrera (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Development of a monitoring dashboard for sentiment and emotion in geolocated social media
Jorge García-Castaño. (2017). Development of a monitoring dashboard for sentiment and emotion in geolocated social media. Trabajo de fin de carrera (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Design and Implementation of a Social Marketplace for a Startup based on a Content Management System. Application of Sentiment Analysis for sensing customer feedback
Álvaro Gericke. (2017). Design and Implementation of a Social Marketplace for a Startup based on a Content Management System. Application of Sentiment Analysis for sensing customer feedback. Trabajo de fin de carrera (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Design and Development of a Sentiment Analysis System on Facebook from Political Domain
Pablo Aramburu García. (2017). Design and Development of a Sentiment Analysis System on Facebook from Political Domain. Trabajo de fin de carrera (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Design and Implementation of a Scraping system for Sport News
Javier Ochoa. (2017). Design and Implementation of a Scraping system for Sport News. Trabajo de fin de carrera. ETSI Telecomunicación, Universidad Politécnica de Madrid. -
European Project Space on Intelligent Technologies, Software Engineering, Computer Vision, Graphics, Optics and Photonic
Carlos A. Iglesias, J. Fernando Sánchez-Rada, Paul Buitelaar & Francesco Danza (2016). European Project Space on Intelligent Technologies, Software Engineering, Computer Vision, Graphics, Optics and Photonic, chapter Mixed Emot, pages 116-123. ScitePress. -
Towards a Common Linked Data Model for Sentiment and Emotion Analysis
J. Fernando Sánchez-Rada, Björn Schuller, Viviana Patti, Paul Buitelaar, Gabriela Vulcu, Felix Bulkhardt et al (2016). Towards a Common Linked Data Model for Sentiment and Emotion Analysis. In J. Fernando Sánchez-Rada & Björn Schuller (editors), Proceedings of the LREC 2016 Workshop Emotion and Sentiment Analysis (ESA 2016), pages 48-54. -
Mining the Opinionated Web: Classification and Detection of Aspect Contexts for Aspect Based Sentiment Analysis
Oscar Araque, Ganggao Zhu, Manuel García-Amado & Carlos A. Iglesias (2016). Mining the Opinionated Web: Classification and Detection of Aspect Contexts for Aspect Based Sentiment Analysis. In Proceedings of IEEE ICDM SENTIRE 2016. IEEE. -
Senpy: A Pragmatic Linked Sentiment Analysis Framework
J. Fernando Sánchez-Rada, Carlos A. Iglesias, Ignacio Corcuera-Platas & Oscar Araque (2016). Senpy: A Pragmatic Linked Sentiment Analysis Framework. In Proceedings DSAA 2016 Special Track on Emotion and Sentiment in Intelligent Systems and Big Social Data Analysis (SentISData), pages 735-742. Montreal, Canada : IEEE. -
Development of an Aspect-based Sentiment Analyzer for the Social Web and Application to Product Reviews
Manuel García-Amado. (2016). Development of an Aspect-based Sentiment Analyzer for the Social Web and Application to Product Reviews. Trabajo de fin de carrera. ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Linked Data Models for Sentiment and Emotion Analysis in Social Networks
Carlos A. Iglesias, J. Fernando Sánchez-Rada, Gabriela Vulcu & Paul Buitelaar (2016). Linked Data Models for Sentiment and Emotion Analysis in Social Networks. In Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina & Bing Liu (editors), Sentiment Analysis in Social Networks. Morgan Kauffman. -
Prototype of a Sentiment Analysis System Based on Ensemble Algorithms for Combining Deep and Surface Machine Learning Techniques
Oscar Araque. (2016). Prototype of a Sentiment Analysis System Based on Ensemble Algorithms for Combining Deep and Surface Machine Learning Techniques. Trabajo de fin de carrera. ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Onyx: A Linked Data Approach to Emotion Representation
J. Fernando Sánchez-Rada & Carlos A. Iglesias. (2016). Onyx: A Linked Data Approach to Emotion Representation. Information Processing & Management, 52, 99-114. -
Development of a Web Conversational Agent for a Smart Home scenario based on the task model ANSI/CEA-2018
Lorena Sancho-Mayoral. (2016). Development of a Web Conversational Agent for a Smart Home scenario based on the task model ANSI/CEA-2018. Trabajo de fin de carrera. ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Development of a Social Media Crawler for Sentiment Analysis
José Emilio Carmona. (2016). Development of a Social Media Crawler for Sentiment Analysis. Trabajo de fin de carrera. ETSI Telecomunicación, Universidad Politécnica de Madrid. -
A Linked Data Model for Multimodal Sentiment and Emotion Analysis
J. Fernando Sánchez-Rada, Carlos A. Iglesias & Ronald Gil (2015). A Linked Data Model for Multimodal Sentiment and Emotion Analysis. In, pages 11-19. Beijing, China : Association for Computational Linguistics and Asian Federation of Natural Language Processing. -
Aspect based Sentiment Analysis of Spanish Tweets
Oscar Araque, Ignacio Corcuera-Platas, Constantino Román-Gómez, Carlos A. Iglesias & J. Fernando Sánchez-Rada (2015). Aspect based Sentiment Analysis of Spanish Tweets. In Proceedings of TASS 2015: Workshop on Sentiment Analysis at SEPLN co-located with 31st SEPLN Conference (SEPLN 2015), pages 29-34. Alicante, Spain. -
Development of a Named Entity Recognition System based on Ensemble Machine Learning Algorithms
Constantino Román-Gómez. (2015). Development of a Named Entity Recognition System based on Ensemble Machine Learning Algorithms. Trabajo de fin de carrera (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Development of an Emotion Analysis System in a University community
Ignacio Corcuera-Platas. (2015). Development of an Emotion Analysis System in a University community. Trabajo de fin de carrera (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid. -
EuroLoveMap: Confronting feelings from News
Jordi Atserias, van Erp, M., Isa Maks, Germán Rigau & J. Fernando Sánchez-Rada (2014). EuroLoveMap: Confronting feelings from News. In Proceedings of Come Hack with OpeNER!” workshop at the 9th Language Resources and Evaluation Conference (LREC’14), pages 5. Reykjavik, Iceland : European Language Resources Association (ELRA). -
EUROSENTIMENT: Linked Data Sentiment Analysis
J. Fernando Sánchez-Rada, Gabriela Vulcu, Carlos A. Iglesias & Paul Buitelaar (2014). EUROSENTIMENT: Linked Data Sentiment Analysis. In Matthew Horridge, Marco Rospocher & van Ossenbruggen, J. (editors), Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference (ISWC 2014), pages 145-148. Riva del Garda, Trentino. -
Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources
Gabriela Vulcu, Paul Buitelaar, Sapna Negi, Bianca Pereira, Mihael Arcan, Barry Coughlan et al (2014). Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources. In th International Workshop on Emotion, Social Signals, Sentiment & Linked Open Data, co-located with LREC 2014,, pages 6-9. Reykjavik, Iceland. -
Linked-Data based Domain-Specific Sentiment Lexicons
Gabriela Vulcu, Raul Lario Monje, Mario Muñoz, Paul Buitelaar & Carlos A. Iglesias (2014). Linked-Data based Domain-Specific Sentiment Lexicons. In Linguistic Linked Data Challenge, co-located with LREC 2014,. Reykjavik, Iceland. -
A Linked Data Approach to Sentiment and Emotion Analysis of Twitter in the Financial Domain
J. Fernando Sánchez-Rada, Marcos Torres, Carlos A. Iglesias, Roberto Maestre & Raquel Peinado (2014). A Linked Data Approach to Sentiment and Emotion Analysis of Twitter in the Financial Domain. In Second International Workshop on Finance and Economics on the Semantic Web (FEOSW 2014), pages 51-62. -
Design and implementation of a Personal Agent Architecture based on Bot technologies and Information Retrieval
Javier Herrera-Planells. (2013). Design and implementation of a Personal Agent Architecture based on Bot technologies and Information Retrieval. Trabajo de fin de carrera (PFC). ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Linguistic Linked Data for Sentiment Analysis
Paul Buitelaar, Mihael Arcan, Carlos A. Iglesias, J. Fernando Sánchez-Rada & Carlo Strapparava (2013). Linguistic Linked Data for Sentiment Analysis. In Christian Chiarcos, Philipp Cimiano, Thierry Declerck & John P. McCrae (editors), 2nd Workshop on Linked Data in Linguistics (LDL-2013): Representing and linking lexicons, terminologies and other language data. Collocated with the Conference on Generative Approaches to the Lexicon, pages 1-8. Pisa, Italy : Association for Computational Linguistics. -
Sistema de Búsqueda de Respuestas para un Servicio de Bots a Partir de Foros de Discusión
César Monteserín. (2011). Sistema de Búsqueda de Respuestas para un Servicio de Bots a Partir de Foros de Discusión. Trabajo de fin de carrera. ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Desarrollo de una plataforma para la asistencia en el desarrollo y gestión de sistemas de bots
Miguel Coronado. (2010). Desarrollo de una plataforma para la asistencia en el desarrollo y gestión de sistemas de bots. Trabajo de fin de carrera. ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Aplicación de técnicas de análisis de sentimientos a la gestón de innovación con fábrica de ideas
Fernando Tapia. (2010). Aplicación de técnicas de análisis de sentimientos a la gestón de innovación con fábrica de ideas. Trabajo de fin de carrera (PFC). ETSI Telecomunicación, Universidad Politécnica de Madrid. -
Desarrollo de un bot de ayuda en lenguaje AIML con acceso Web y WAP
Alejandro Marqués. (2009). Desarrollo de un bot de ayuda en lenguaje AIML con acceso Web y WAP. Trabajo de fin de carrera. -
GSIBot. Una Plataforma para el Desarrollo de Servicio de Bots
Miguel Coronado, Alejandro Marqués & Carlos A. Iglesias (2009). GSIBot. Una Plataforma para el Desarrollo de Servicio de Bots. In Libro de Actas de las VIII Jornadas de Ingeniería Telemática (JITEL 2009), pages 1-4. Cartagena, Spain. -
A Hybrid Collaborative Filtering System for Contextual Recommendations in Social Networks
Jorge Gonzalo, de Juan, P., Elena García-Hortelano & Carlos A. Iglesias (2009). A Hybrid Collaborative Filtering System for Contextual Recommendations in Social Networks, pages 393-400. Springer-Verlag. -
The ARIES Toolbox: a continuing R+D Effort
José Carlos González, José Miguel Goñi, Amalio F. Nieto, Antonio Moreno & Carlos A. Iglesias (1997). The ARIES Toolbox: a continuing R+D Effort. In Proceedings of the International Workshop on Spanish Language Processing Technologies. Santa Fe, USA. -
ARIES: {A} lexical platform for engineering Spanish processing tools
José Miguel Goñi, José Carlos González & Antonio Moreno. (1997). ARIES: {A} lexical platform for engineering Spanish processing tools.. -
Multilingual Resources for European Languages: Contributions to the CRATER Project
Tony McEnery, Andrew Wilson, Fernando Sáez-Vacas & Amalio F. Nieto. (1997). Multilingual Resources for European Languages: Contributions to the CRATER Project.. -
Segmentador de oraciones para textos en español basado en red neuronal
José Ignacio Espinosa, José Carlos González, Amalio F. Nieto & José Miguel Goñi (1996). Segmentador de oraciones para textos en español basado en red neuronal. In. -
Procesamiento Semántico en la Arquitectura ARIES
Carlos A. Iglesias, José Carlos González, José Miguel Goñi, Jesús López & Amalio F. Nieto. (1995). Procesamiento Semántico en la Arquitectura ARIES. NOVATICA (112-113), 91-96. -
A Morphological Processor for {S}panish implemented in Prolog
Antonio Moreno & José Miguel Goñi (1995). A Morphological Processor for {S}panish implemented in Prolog. In. -
A lexical platform for {S}panish
José Miguel Goñi, José Carlos González & Antonio Moreno (1995). A lexical platform for {S}panish. In. -
Obtención automática de marcos de Subcategorización verbal a partir de texto etiquetado: el sistema SOAMAS
Juan Monedero, José Carlos González, José Miguel Goñi, Carlos A. Iglesias & Amalio F. Nieto. (1995). Obtención automática de marcos de Subcategorización verbal a partir de texto etiquetado: el sistema SOAMAS. Procesamiento del Lenguaje Natural, 17, 241-254. -
Desarrollo de un Etiquetador Morfosintáctico para el Español
Fernando Sánchez & Amalio Nieto (1995). Desarrollo de un Etiquetador Morfosintáctico para el Español. In. -
ARIES: a ready for use platform for engineering Spanish-processing tools
José Carlos González, José Miguel Goñi & Amalio F. Nieto (1995). ARIES: a ready for use platform for engineering Spanish-processing tools. In. -
A Framework for Lexical Representation
José Miguel Goñi & José Carlos González (1995). A Framework for Lexical Representation. In. -
Un Analizador Morfológico para el Castellano basado en Chart
Angel L. González, José Miguel Goñi & José Carlos González (1995). Un Analizador Morfológico para el Castellano basado en Chart. In. -
Una propuesta y un etiquetador de codificación morfosintáctica para corpus de referencia en lengua española
Aurora Martín & José Miguel Goñi (1995). Una propuesta y un etiquetador de codificación morfosintáctica para corpus de referencia en lengua española. In. -
Sistema de Aprendizaje Basado en Explicaciones para Comprensión de Textos
Carlos García, José Carlos González & José Miguel Goñi. (1994). Sistema de Aprendizaje Basado en Explicaciones para Comprensión de Textos.. -
Un analizador Sintáctico para Gramáticas Asociativas por la Izquierda
José M. Gómez, José Miguel Goñi & José Carlos González (1994). Un analizador Sintáctico para Gramáticas Asociativas por la Izquierda. In. -
Introducción a la Generación de Lenguaje Natural
Carlos A. Iglesias. (1993). Introducción a la Generación de Lenguaje Natural. Revista de Informática y Automática, 26 (2), 36-47.
Proyectos Ver más
Líneas de investigación: NLP y Análisis de Sentimientos
Fecha de comienzo: 2023-02-01
Fecha de finalización: 2024-12-31
Líneas de investigación: NLP y Análisis de Sentimientos
Fecha de comienzo: 2020-12-01
Fecha de finalización: 2023-11-30
Líneas de investigación: NLP y Análisis de Sentimientos
Fecha de comienzo: 2015-04-01
Fecha de finalización: 2017-04-30
Líneas de investigación: NLP y Análisis de Sentimientos
Fecha de comienzo: 2014-10-01
Fecha de finalización: 2015-01-31
Líneas de investigación: NLP y Análisis de Sentimientos
Fecha de comienzo: 2009-01-01
Fecha de finalización: 2011-12-31
Líneas de investigación: NLP y Análisis de Sentimientos
Fecha de comienzo: 2008-01-01
Fecha de finalización: 2008-12-31
Líneas de investigación: NLP y Análisis de Sentimientos
Fecha de comienzo: 2007-10-01
Fecha de finalización: 2010-09-30
Líneas de investigación: NLP y Análisis de Sentimientos
Fecha de comienzo: 2007-01-01
Fecha de finalización: 2007-12-31
Líneas de investigación: NLP y Análisis de Sentimientos
Fecha de comienzo: 2004-12-15
Fecha de finalización: 2007-12-15
Líneas de investigación: NLP y Análisis de Sentimientos
Fecha de comienzo: 2000-01-01
Fecha de finalización: 2002-12-31
Líneas de investigación: NLP y Análisis de Sentimientos
Fecha de comienzo: 1996-07-01
Fecha de finalización: 1999-06-30
Líneas de investigación: NLP y Análisis de Sentimientos
Fecha de comienzo: 1994-03-01
Fecha de finalización: 1995-12-31
Líneas de investigación: NLP y Análisis de Sentimientos
Fecha de comienzo: 1991-07-01
Fecha de finalización: 1994-06-30