Sentiment Analysis and Topic Detection of Spanish Tweets: A Comparative Study of NLP Techniques (Análisis de sentimientos y detección de asunto de tweets en español: un estudio comparativo de técnicas de PLN)

dc.contributor.author	Fernández Anta, Antonio
dc.contributor.author	Chiroque, Luis F.
dc.contributor.author	Morere, Philippe
dc.contributor.author	Santos, Agustín
dc.date.accessioned	2021-07-13T10:02:28Z
dc.date.available	2021-07-13T10:02:28Z
dc.date.issued	2013-01
dc.identifier.issn	1135-5948
dc.identifier.uri	http://hdl.handle.net/20.500.12761/1188
dc.description.abstract	A significant amount of effort is been invested in constructing effective solutions for sentiment analysis and topic detection, but mostly for English texts. Using a corpus of Spanish tweets, we present a comparative analysis of different approaches and classification techniques for these problems.
dc.language.iso	eng
dc.publisher	Sociedad Española para el Procesamiento del Lenguaje Natural
dc.title	Sentiment Analysis and Topic Detection of Spanish Tweets: A Comparative Study of NLP Techniques (Análisis de sentimientos y detección de asunto de tweets en español: un estudio comparativo de técnicas de PLN)	en
dc.type	journal article
dc.journal.title	Procesamiento del Lenguaje Natural
dc.type.hasVersion	VoR
dc.rights.accessRights	open access
dc.volume.number	50
dc.identifier.doi	http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/4658
dc.page.final	52
dc.page.initial	45
dc.description.status	pub
dc.eprint.id	http://eprints.networks.imdea.org/id/eprint/563