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Sentiment Analysis and Opinion Mining (Paperback)
Loot Price: R975
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Sentiment Analysis and Opinion Mining (Paperback)
Series: Synthesis Lectures on Human Language Technologies
Expected to ship within 9 - 15 working days
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Sentiment analysis and opinion mining is the field of study that
analyzes people's opinions, sentiments, evaluations, attitudes, and
emotions from written language. It is one of the most active
research areas in natural language processing and is also widely
studied in data mining, Web mining, and text mining. In fact, this
research has spread outside of computer science to the management
sciences and social sciences due to its importance to business and
society as a whole. The growing importance of sentiment analysis
coincides with the growth of social media such as reviews, forum
discussions, blogs, micro-blogs, Twitter, and social networks. For
the first time in human history, we now have a huge volume of
opinionated data recorded in digital form for analysis. Sentiment
analysis systems are being applied in almost every business and
social domain because opinions are central to almost all human
activities and are key influencers of our behaviors. Our beliefs
and perceptions of reality, and the choices we make, are largely
conditioned on how others see and evaluate the world. For this
reason, when we need to make a decision we often seek out the
opinions of others. This is true not only for individuals but also
for organizations. This book is a comprehensive introductory and
survey text. It covers all important topics and the latest
developments in the field with over 400 references. It is suitable
for students, researchers and practitioners who are interested in
social media analysis in general and sentiment analysis in
particular. Lecturers can readily use it in class for courses on
natural language processing, social media analysis, text mining,
and data mining. Lecture slides are also available online. Table of
Contents: Preface / Sentiment Analysis: A Fascinating Problem / The
Problem of Sentiment Analysis / Document Sentiment Classification /
Sentence Subjectivity and Sentiment Classification / Aspect-Based
Sentiment Analysis / Sentiment Lexicon Generation / Opinion
Summarization / Analysis of Comparative Opinions / Opinion Search
and Retrieval / Opinion Spam Detection / Quality of Reviews /
Concluding Remarks / Bibliography / Author Biography
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