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Emotional analysis system for social media using sentiment dictionary with newly-created words
Journal of The Korea Society of Computer and Information
Abbr :
JKSCI
2020, 25(4), pp.133-140
DOI :https://doi.org/10.9708/jksci.2020.25.04.133
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
2020, 25(4), pp.133-140
DOI :https://doi.org/10.9708/jksci.2020.25.04.133
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
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Emotional analysis is an application of opinion mining that analyzes opinions and tendencies of people appearing in unstructured text. Recently, emotional analysis of social media has attracted attention, but social media contains newly-created words and slang, so it is not easy to analyze with existing emotional analysis. In this study, I design a new emotional analysis system to solve these problems. The proposed system is possible to analyze various emotions as well as positive and negative in social media including newly-created words and slang. First, I collect newly-created words and slang related to emotions that appear in social media. Then, expand the existing emotional model and use it to quantify the degree of sentiment in emotional words. Also, a new sentiment dictionary is constructed by reflecting the degree of sentiment. Finally, I design an emotional analysis system that applies an sentiment dictionary that includes newly-created words and an extended emotional model.
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