Spanish knowledge base generation for polarity classification from masses
Proceedings of the 22nd international conference on World Wide Web companion
Detecting real-time burst topics in microblog streams: how sentiment can help
Proceedings of the 22nd international conference on World Wide Web companion
Microblog sentiment analysis based on emoticon networks model
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
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This paper proposes a new approach to analyze public moods on certain events in micro-blogging. Combining with clinical psychology, we use emotional vector rather than traditional orientation to perform sentiment analysis. The emotional vector could constantly absorb new Internet emotional words with our algorithm and has hierarchical structure so as to do multi-level analysis. Experimental evaluations show that there is a strong correlation between bursty events and public moods, and sentiment analysis could implement effectively using the emotional vector proposed in this article.