WeFeelFine as resource for unsupervised polarity classification
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http://hdl.handle.net/10045/27861
Title: | WeFeelFine as resource for unsupervised polarity classification |
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Other Titles: | WeFeelFine como recurso para clasificación de la polaridad no supervisada |
Authors: | Montejo Ráez, Arturo |
Keywords: | Análisis de emociones | Clasificación de la polaridad | Twitter | Microblogging | Sentiment analysis | Polarity classification |
Knowledge Area: | Lenguajes y Sistemas Informáticos |
Issue Date: | Mar-2013 |
Publisher: | Sociedad Española para el Procesamiento del Lenguaje Natural |
Citation: | MONTEJO-RÁEZ, Arturo. “WeFeelFine as resource for unsupervised polarity classification”. Procesamiento del Lenguaje Natural. N. 50 (2013). ISSN 1135-5948, pp. 29-35 |
Abstract: | En este trabajo se presenta una solución no supervisada al problema de la clasificación de la polaridad en micro-blogs. La propuesta no sólo no necesita de entrenamiento, sino que se construye a partir de las propias publicaciones de millones de usuarios en la web. Los resultados muestran la efectividad de esta propuesta, abriendo la puerta a una nueva forma de afrontar el análisis de sentimientos en micro-blogs. | This papers shows the results obtained by a non supervised method in the task of sentiment polarity detection on micro-blogs. This method does not need of training, but it also is self-constructed from millions of publications on the web. The results show the effectiveness of the proposal, opening a new way of facing sentiment analysis in micro-blogs. |
Sponsor: | This work is partly funded by the European Comission, under the VII Framework Program (FP7 -2007-2013), within the FIRST project (FP7-287607) and by the Spanish Government, within the TEXT-COOL project (TIN2009-13391-C04-02). |
URI: | http://hdl.handle.net/10045/27861 |
ISSN: | 1135-5948 |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Peer Review: | si |
Appears in Collections: | Procesamiento del Lenguaje Natural - Nº 50 (2013) |
Files in This Item:
File | Description | Size | Format | |
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PLN_50_03.pdf | 760,94 kB | Adobe PDF | Open Preview | |
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