@conference{araqueTASS2015,
author = "Araque, Oscar and Corcuera-Platas, Ignacio and Rom{\'a}n-G{\'o}mez, Constantino and Iglesias, Carlos A. and S{\'a}nchez-Rada, J. Fernando",
abstract = "This article presents the participation of the Intelligent Systems Group
(GSI) at Universidad Polit´ecnica de Madrid (UPM) in the Sentiment Analysis workshop
focused in Spanish tweets, TASS2015. This year two challenges have been
proposed, which we have addressed with the design and development of a modular
system that is adaptable to different contexts. This system employs Natural
Language Processing (NLP) and machine-learning technologies, relying also in previously
developed technologies in our research group. In particular, we have used a
wide number of features and polarity lexicons for sentiment detection. With regards
to aspect detection, we have relied on a graph-based algorithm. Once the challenge
has come to an end, the experimental results are promising.",
address = "Alicante, Spain",
booktitle = "Proceedings of TASS 2015: Workshop on Sentiment Analysis at SEPLN co-located with 31st SEPLN Conference (SEPLN 2015)",
issn = "  1613-0073",
keywords = "Machine Learning;natural language processing;Sentiment analysis;aspect detection",
month = "September",
organization = "SEPLN",
pages = "29-34",
title = "{A}spect based {S}entiment {A}nalysis of {S}panish {T}weets",
url = "http://ceur-ws.org/Vol-1397/gsi.pdf",
volume = "1397",
year = "2015",
}