Social Sentiment Analysis Using Fuzzy Logic: Addressing context effect on sentiment analysis by fuzzy lexicon dynamism

M. Ghiasi, Shaghayegh Gharehgozli
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引用次数: 1

Abstract

Fuzzy Logic revolution started during 1965 by Prof Lotfi A. Zadeh [1], [2] have evolved uncertainty and indeterminacy analytics forever. Sentiment analysis of published content on social networks is an essential key to analyze and predict social engagement polarities determined by provider's attitude and viewpoint toward a subject, being a profile, topic or single post. This paper uses precious works of Prof Lotfi A. Zadeh to propose a quantitative sentiment calculation method by introducing fuzziness and context dynamism on language-specific lexicons found on published short informal textual content on three holistic contexts of owner, user and the post itself.
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基于模糊逻辑的社会情感分析:用模糊词汇动态分析语境对情感分析的影响
1965年由Lotfi A. Zadeh教授发起的模糊逻辑革命[1],[2]永远演变了不确定性和不确定性分析。对社交网络上发布的内容进行情感分析是分析和预测由提供者对一个主题(个人资料、主题或单个帖子)的态度和观点决定的社会参与极性的关键。本文利用Lotfi a . Zadeh教授的宝贵著作,对已发表的非正式短文本内容中的特定语言词汇引入模糊性和语境动态性,提出了一种定量情感计算方法。
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