CASIA OpenIR  > 模式识别国家重点实验室  > 自然语言处理
Sentiment Analysis: Mining Opinions Sentiments and Emotions
Zhao Jun; Liu Kang; Xu Liheng
2016
发表期刊Computational Linguistics
期号42页码:595-598
摘要With the increasing development of Web 2.0, such as social media and online businesses,
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment
analysis, the topic studying such subjective feelings expressed in text, has attracted
significant attention from both the research community and industry. Although we
have known sentiment analysis as a task of mining opinions expressed in text and
analyzing the entailed sentiments and emotions, so far the task is still vaguely defined
in the research literature because it involves many overlapping concepts and sub-tasks.
Because this is an important area of scientific research, the field needs to clear this
vagueness and define various directions and aspects in detail, especially for students,
scholars, and developers new to the field. In fact, the field includes numerous natural
language processing tasks with different aims (such as sentiment classification, opinion
information extraction, opinion summarization, sentiment retrieval, etc.) and these have
multiple solution paths. Bing Liu has done a great job in this book in providing a
thorough exploration and an anatomy of the sentiment analysis problem and conveyed
a wealth of knowledge about different aspects of the field.

关键词Sentiment Analysis
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20630
专题模式识别国家重点实验室_自然语言处理
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Zhao Jun,Liu Kang,Xu Liheng. Sentiment Analysis: Mining Opinions Sentiments and Emotions[J]. Computational Linguistics,2016(42):595-598.
APA Zhao Jun,Liu Kang,&Xu Liheng.(2016).Sentiment Analysis: Mining Opinions Sentiments and Emotions.Computational Linguistics(42),595-598.
MLA Zhao Jun,et al."Sentiment Analysis: Mining Opinions Sentiments and Emotions".Computational Linguistics .42(2016):595-598.
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