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

Autor:	Cordobés de la Calle, Héctor, Fernández Anta, Antonio, Chiroque, Luis F., Pérez, Fernando, Redondo, Teófilo, Santos, Agustín
Jazyk:	angličtina
Rok vydání:	2013
Předmět:	graphs text classification Topic classification natural language processing
Zdroj:	IMDEA Networks Institute Digital Repository IMDEA Networks Institute instname
Popis:	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) 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. TRUE pub
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3a5355dc08e20ebcce26a86f3ffe6178 http://hdl.handle.net/20.500.12761/1286 Zobrazit plný text záznamu