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Techniques for Sentiment Analysis and Topic Detection of Spanish Tweets: Preliminary Report

Fernández Anta, Antonio and Morere, Philippe and Chiroque, Luis F. and Santos, Agustín (2012) Techniques for Sentiment Analysis and Topic Detection of Spanish Tweets: Preliminary Report. In: Spanish Society for Natural Language Processing Conference (SEPLN 2012), 5-7 September 2012, Castellón de la Plana, Spain.

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Abstract

Sentiment analysis and topic detection are new problems that are at the intersection of natural language processing(NLP) and data mining. Sentiment analysis attempts to determine if a text is positive, negative, or neither, while topic detection attempts to identify the subject of the text. A significant amount of effort has been invested in constructing effective solutions for these problems, mostly for English texts. Using a corpus of Spanish tweets,we present a comparative analysis of different approaches and classification techniques for these problems.The data is preprocessed using techniques and tools proposed in the literature,together with others specifically proposed here that take into account the characteristics of Twitter.Then,popular classifiers have been used.(In particular,all classifiers of WEKA have been evaluated.)Due to its high number not all the results obtained will be presented here.

Item Type: Conference or Workshop Papers (Invited Paper)
Additional Information: SEPLN 2012 – XXVIII Congreso de la Sociedad Española para el Procesamiento del Lenguaje Natural), co-located with the Spanish Informatics Conference (CEDI2012 – III Congreso Español de Informática)
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Rebeca De Miguel
Date Deposited: 12 May 2013 17:08
Last Modified: 13 Feb 2017 16:52
URI: http://eprints.networks.imdea.org/id/eprint/506

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