Sentiment analysis in Twitter

Author:

MARTÍNEZ-CÁMARA EUGENIO,MARTÍN-VALDIVIA M. TERESA,UREÑA-LÓPEZ L. ALFONSO,MONTEJO-RÁEZ A RTURO

Abstract

AbstractIn recent years, the interest among the research community in sentiment analysis (SA) has grown exponentially. It is only necessary to see the number of scientific publications and forums or related conferences to understand that this is a field with great prospects for the future. On the other hand, the Twitter boom has boosted investigation in this area due fundamentally to its potential applications in areas such as business or government intelligence, recommender systems, graphical interfaces and virtual assistance. However, to fully understand this issue, a profound revision of the state of the art is first necessary. It is for this reason that this paper aims to represent a starting point for those investigations concerned with the latest references to Twitter in SA.

Publisher

Cambridge University Press (CUP)

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics,Software

Reference65 articles.

1. Zhang L. , Ghosh R. , Dekhil M. , Hsu M. , and Liu B. 2011. Combining lexicon-based and learning-based methods for Twitter sentiment analysis. Technical Report HPL-2011-89.

2. Survey on mining subjective data on the web

3. Sentiment strength detection in short informal text

4. From humor recognition to irony detection: The figurative language of social media

5. Using emoticons to reduce dependency in machine learning techniques for sentiment classification

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