Sentiment Analysis and Opinion Mining
Sentiment Analysis and Opinion Mining
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DOI：
10.1007/978-981-16-0100-2_8
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Chengqing Zong;Rui Xia;Jiajun Zhang
中科院分区：
文献类型：
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作者：
Chengqing Zong;Rui Xia;Jiajun Zhang
随着万维网的快速发展和普及，互联网进入了Web 2.0和社交网络时代。在 Web 1.0 中，互联网的特点是静态网页。 Web 2.0 是指强调用户生成内容的万维网。社交网络以许多在线工具和平台为代表，例如 Twitter、Facebook、微博和微信，人们在其中分享他们的观点、观点、想法和经验。这些网络平台包含着无数关于不同话题和事件的主观文本，充分反映了全社会的个人观点、情感、态度和情感。研究如何利用计算机来分析、挖掘和管理这些主观文本，对于国家、政府、企业和个人都具有重要的现实意义。国家安全机构需要观察这些网络的内容并识别可能的响应、欺诈和无效信息传播，以确保网络安全；政府需要跟踪民意以完善政策和法规；企业需要根据网络信息快速了解用户的意见、评论和建议，以提高产品和服务的质量；在购买产品时，个人希望快速、准确地捕捉产品的优缺点，从而做出更好的选择和决策。情感分析，也称为观点挖掘，就是分析文本中这种主观性的研究领域。在本章中，我们首先介绍情感分析的分类。然后，我们将介绍不同层面的情感分析方法。最后我们讨论了情感分析中的两个特殊问题，包括极性转变和领域适应。
With the rapid development and popularity of the World Wide Web, the Internet has entered the Web 2.0 and social network era. In Web 1.0, the Internet was characterized by static web pages. Web 2.0 refers to a World Wide Web that highlights user-generated content. Social networks are represented by a number of online tools and platforms, such as Twitter, Facebook, Weibo, and WeChat, where people share their perspectives, opinions, thoughts, and experiences. These online platforms contain innumerable subjective texts regarding different topics and events that fully reflect the individual opinions, sentiments, attitudes, and emotions of all of society.Studying how to use computers to analyze, mine, and manage such subjective text is of great practical significance to nations, governments, enterprises, and individuals. National security agencies need to observe the content of these networks and identify possible responses, fraud, and invalid information dissemination to ensure network security; governments need to track public opinion to improve their policies and regulations; enterprises need to quickly understand the user’s opinions, comments, and suggestions based on network information to improve the quality of their products and services; when purchasing products, individuals want to quickly and accurately capture the pros and cons of products and make better choices and decisions.Sentiment analysis, also called opinion mining, is the field of study that analyzes such subjectivities in texts. In this chapter, we will first introduce the categorization of sentiment analysis. Then, we will introduce sentiment analysis methods at different levels. We finally discuss two special issues in sentiment analysis, including polarity shift and domain adaptation.