An Analysis and Discussion of Human Sentiment Based on Social Network Information

S. Chatterjee
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Abstract

Sentiment Analysis shows, for example, the emotions or feelings present behind any social media message blog post, Facebook status or tweet. This information is essential to understand the feelings of the author which play a critical role in influencing the readers. Any individual's social impact depends on many factors, the most important of which is sentiment analysis as it reveals human emotions. This is one of the rapidly increasing fields of research that explores the influence of social media by writers focused on how the emotions of the reader are affected. This paper looks at the various aspects of study of feelings and their effect on the power of social media. Sentiment analysis, also named as opinion mining, is the camp of research that scanned the opinion of people, their feelings, attitudes, habits, and emotions towards institutions such as products, services, organizations, individuals, problems, events, topics, and their highlights. This offers enough space for problems.
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基于社会网络信息的人类情感分析与探讨
例如,情绪分析显示任何社交媒体信息、博客帖子、Facebook状态或推特背后的情绪或感受。这些信息对于理解作者的感受至关重要,而作者的感受对影响读者起着至关重要的作用。任何个人的社会影响取决于许多因素,其中最重要的是情绪分析,因为它揭示了人类的情感。这是一个快速增长的研究领域,通过关注读者情绪如何受到影响的作家来探索社交媒体的影响。本文着眼于情感研究的各个方面及其对社交媒体力量的影响。情感分析,也被称为意见挖掘,是扫描人们对产品、服务、组织、个人、问题、事件、话题及其亮点等机构的意见、感受、态度、习惯和情绪的研究阵营。这为问题提供了足够的空间。
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