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Sentiment Analysis and Opinion Mining, by Bing Liu
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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
- Sales Rank: #928916 in eBooks
- Published on: 2012-05-01
- Released on: 2012-05-01
- Format: Kindle eBook
Most helpful customer reviews
2 of 2 people found the following review helpful.
Good
By Guilherme Cassolato
Cheap paperback format. Hardcover would've been better.
Good approach. Not a text-book (as expected).
Bing Liu is a great reference in the topic, mandatory citation in Semantic Web Mining.
0 of 0 people found the following review helpful.
Good collection all in one place
By Darren Cook
I'm still reading this, so I'll update if the later chapters are either terrible or brilliant.
There is quite a serious typo throughout the book (kindle version, downloaded around early October 2013): "1-32".
When followed by the word "stars" I am assuming it should read "1-5". But in at least one other place I think "1-3" was meant.
0 of 0 people found the following review helpful.
Lack of technicality
By LOV
This book is a little disappointing, most due to the non-technical writing style. Other books in this series appear to be more mathematical but this one is mostly without math. It is difficult to understand the technical details without disclosing the math, but it may be good for those who prefer non-math reading.
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