An Approach for Sentiment Tendency Analysis on Comment Text

Abstract:

With the rapid development of network, texts which contain position, views and opinions of events are exploding. Texts of review contain author’s feelings, views and tendencies the author wants to express. People need to analyze these texts automatically to acquire sentiment tendency of the author. This paper presents a model for automatic text analysis about sentiment tendency on comment text. The model combines algorithms based on emotional dictionary and Support Vector Machine learning algorithm together, which takes advantage of both algorithms.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 1913-1917
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.1913
• Online since: July 2014
• Authors: Min Li*, Meng Dong Chen, Xiang Bin Li
• Keywords: Analysis, Sentiment Dictionary, Sentiment Tendency, Support Vector Machine (SVM)

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