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Sentiment Analysis: Mining Opinions Sentiments and Emotions
Zhao Jun; Liu Kang; Xu Liheng
Source PublicationComputational Linguistics
AbstractWith 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.

KeywordSentiment Analysis
Document Type期刊论文
Recommended Citation
GB/T 7714
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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