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Graph-based Techniques for Topic Classification of Tweets (Técnicas basadas en grafos para la categorización de tweets por tema)

Cordobés de la Calle, Héctor and Fernández Anta, Antonio and Chiroque, Luis F. and Pérez, Fernando and Redondo, Teófilo and Santos, Agustín (2013) Graph-based Techniques for Topic Classification of Tweets (Técnicas basadas en grafos para la categorización de tweets por tema). In: Spanish Society for Natural Language Processing Conference (SEPLN 2013), 18-20 September 2013, Madrid, Spain.

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Abstract

Topic classification of texts is one of the most interesting challenges in Natural Language Processing (NLP). In this work we present a technique based on graph similarity to classify Twitter messages as being related to a specific topic.

Item Type: Conference or Workshop Papers (Invited Paper)
Additional Information: SEPLN 2013 – XXIX Congreso de la Sociedad Española para el Procesamiento del Lenguaje Natural, co-located with the Spanish Informatics Conference (CEDI2013 – IV Congreso Español de Informática)
Uncontrolled Keywords: Topic classification, text classification, graphs, natural language processing.
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Hector Cordobes
Date Deposited: 03 Mar 2014 07:44
Last Modified: 13 Feb 2017 16:49
URI: http://eprints.networks.imdea.org/id/eprint/722

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