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 /