WeFeelFine as Resource for Unsupervised Polarity Classification

• Autores: Arturo Montejo Ráez
• Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 50, 2013, págs. 29-36
• Idioma: inglés
• Enlaces
  • Texto completo
• Resumen
  • español

    En este trabajo se presenta una soluci´on no supervisada al problema de la clasificaci´on de la polaridad en micro-blogs. La propuesta no s´olo 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 an´alisis de sentimientos en micro-blogs

  • English

    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, openining a new way of facing sentiment analysis in micro-blogs

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