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Oscar Araque
Position
Profesor Permanente Laboral
Description
OSCAR ARAQUE received the graduate and master’s degrees in telecommunication engineering from the Technical University of Madrid (Universidad Politécnica de Madrid), Spain, in 2014 and 2016, respectively, and the Ph.D. degree in the same university in 2020 with the thesis titled "A Distributional Semantics Perspective of Lexical Resources for Affect Analysis: An application to Extremist Narratives".
He is currently Assistant Professor at Universidad Politécnica de Madrid. His research interest includes the application of machine-learning techniques for natural language processing. His research interests lie in the introduction of specific domain knowledge into machine learning systems in order to enhance sentiment and emotion analysis techniques, and their applications to new domains, such as radicalization narratives.
Research areas
Personal Information
Email
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Phone
91 06 72136
Location
C-212
Publications View all
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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). -
To Click It or Not to Click It: An Italian Dataset for Neutralising Clickbait Headlines
Daniel Russo, Oscar Araque & Marco Guerini (2024). To Click It or Not to Click It: An Italian Dataset for Neutralising Clickbait Headlines. In Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024). -
Exploring Temporal Features in Health Records for Frailty Detection
de Enciso García, J., Matteo Leghissa, Oscar Araque & Álvaro Carrera Barroso (2024). Exploring Temporal Features in Health Records for Frailty Detection. In de Sevilla, U. (editor), CASEIB 2024. Libro de Actas del XLII Congreso Anual de la Sociedad Española de Ingeniería Biomédica. -
SLIWC, Morality, NarrOnt and Senpy Annotations: four vocabularies to fight radicalization
J. Fernando Sánchez-Rada, Guillermo García Grao, Oscar Araque & Carlos A. Iglesias (2023). SLIWC, Morality, NarrOnt and Senpy Annotations: four vocabularies to fight radicalization. In Sara Carvalho, Jorge Gracia, Anas Fahad Khan, John P. McCrae, Ana Ostroški Anić, Dagmar Gromann et al (editors), Proceedings of the 4th Conference on Language, Data and Knowledge, pages 617-626. Vienna : NOVA CLUNL, Portugal. -
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. -
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. -
What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric
Enrico Liscio, Oscar Araque, Lorenzo Gatti, Ionut Constantinescu, Catholijn Jonker, Kyriaki Kalimeri et al (2023). What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric. In for Computational Linguistics, A. (editor), Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14113–14132. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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). -
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. -
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. Phd Thesis. 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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
A Cognitive Agent for Mining Bugs Reports, Feature Suggestions and Sentiment in a Mobile Application Store
Sergio Muñoz López, Antonio Fernández, Oscar Araque & Carlos A. Iglesias (2018). A Cognitive Agent for Mining Bugs Reports, Feature Suggestions and Sentiment in a Mobile Application Store. In Proceedings of The 4th International Conference on Big Data Innovations and Applications (Innovate-Data 2018). -
An Emotion Aware Task Automation Architecture Based on Semantic Technologies for Smart Offices
Sergio Muñoz López, Oscar Araque, J. Fernando Sánchez-Rada & Carlos A. Iglesias. (2018). An Emotion Aware Task Automation Architecture Based on Semantic Technologies for Smart Offices. Sensors, 18 (5), 1499. -
Teaching Big Data With Pen, Paper and Scissors
J. Fernando Sánchez-Rada, Oscar Araque, Álvaro Carrera Barroso & Carlos A. Iglesias. (2018). Teaching Big Data With Pen, Paper and Scissors. Revista Internacional de Tecnologías en la Educación, 5 (2), 63-68. -
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.. -
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. -
Enhancing Deep Learning Sentiment Analysis with Ensemble Techniques in Social Applications
Oscar Araque, Ignacio Corcuera-Platas, J. Fernando Sánchez-Rada & Carlos A. Iglesias. (2017). Enhancing Deep Learning Sentiment Analysis with Ensemble Techniques in Social Applications. Expert Systems with Applications. -
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). -
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. -
SmartSim: Improving visualization on social simulation for an emergency evacuation scenario
Antonio M. Díaz-Dominguez, Ganggao Zhu, Álvaro Carrera Barroso, Carlos A. Iglesias & Oscar Araque (2016). SmartSim: Improving visualization on social simulation for an emergency evacuation scenario. In Rubén Fuentes-Fernández & Marin Lujak (editors), Proceedings of 1st International Workshop on Ambient Intelligence for Large Premises (AmILP 2016) co-located with ECAI 2016. -
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. Final Career Project. ETSI Telecomunicación, Universidad Politécnica de Madrid. -
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. -
Design and implementation of an event rules web editor
Oscar Araque. (2014). Design and implementation of an event rules web editor. Final Career Project (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid.
Projects View all
Research areas: IR and Sentiment Analysis
Proposed start date: 2023-02-01
Proposed end date: 2024-12-31
Research areas: Big Data and Machine Learning, IR and Sentiment Analysis
Proposed start date: 2022-12-01
Proposed end date: 2024-12-01
Research areas: Agents and Social Simulation, Big Data and Machine Learning, Linked Data and Semantic Technologies
Proposed start date: 2021-11-01
Proposed end date: 2024-12-31
Research areas: IR and Sentiment Analysis
Proposed start date: 2020-12-01
Proposed end date: 2023-11-30
Research areas: Agents and Social Simulation
Proposed start date: 2019-01-08
Proposed end date: 2019-12-31
Research areas: Agents and Social Simulation, IR and Sentiment Analysis, Linked Data and Semantic Technologies
Proposed start date: 2019-01-01
Proposed end date: 2022-12-30
Research areas: Big Data and Machine Learning
Proposed start date: 2018-09-01
Proposed end date: 2019-02-28
Research areas: Agents and Social Simulation, Big Data and Machine Learning
Proposed start date: 2018-06-01
Proposed end date: 2019-09-30
Research areas: Big Data and Machine Learning
Proposed start date: 2018-02-01
Proposed end date: 2018-11-15
Research areas: Agents and Social Simulation, IR and Sentiment Analysis
Proposed start date: 2016-09-01
Proposed end date: 2019-12-31
Research areas: Agents and Social Simulation
Proposed start date: 2016-05-12
Proposed end date: 2018-12-31
Research areas: IR and Sentiment Analysis
Proposed start date: 2015-04-01
Proposed end date: 2017-04-30
Research areas: Agents and Social Simulation
Proposed start date: 2014-10-01
Proposed end date: 2017-03-31