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Empirical Sentiment Classification Using Psychological Emotions and Social Web Data

심리학적 감정과 소셜 웹 자료를 이용한 감성의 실증적 분류

  • 장문수 (서경대학교 컴퓨터과학과)
  • Received : 2012.09.03
  • Accepted : 2012.10.15
  • Published : 2012.10.25

Abstract

The studies of opinion mining or sentiment analysis have been the focus with social web proliferation. Sentiment analysis requires sentiment resources to decide its polarity. In the existing sentiment analysis, they have been built resources designed with intensity of sentiment polarity and decided polarity of opinion using the ones. In this paper, I will present sentiment categories for not only polarity of opinion but also the basis of positive/negative opinion. I will define psychological emotions to primary sentiments for the reasonable classification. And I will extract the informations of sentiment from social web texts for the actual distribution of sentiments in social web. Re-classifying primary sentiments based on extracted sentiment information, I will organize sentiment categories for the social web. In this paper, I will present 23 categories of sentiment by using proposed method.

Acknowledgement

Supported by : 지식경제부

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