Sentiment Analysis: Mining Opinions Sentiments and Emotions

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 自然语言处理

	Sentiment Analysis: Mining Opinions Sentiments and Emotions
	Zhao Jun; Liu Kang; Xu Liheng
发表期刊	Computational Linguistics
	2016
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/173211/40838
专题	多模态人工智能系统全国重点实验室_自然语言处理
推荐引用方式 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.