Sentiment analysis : mining opinions, sentiments, and emotions

✍ Scribed by Liu, Bing

• Publisher: Cambridge University Press
• Year: 2016
• Tongue: English
• Leaves: 367
• Category: Library

✦ Synopsis

Overview: Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs that are commonly used to express opinions and sentiments. It covers all core areas of sentiment analysis, includes many emerging themes, such as debate analysis, intention mining, and fake-opinion detection, and presents computational methods to analyze and summarize opinions. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences.

✦ Table of Contents

Content: 1. The problem of sentiment analysis --
2. Document sentiment classification --
3. Sentence subjectivity and sentiment classification --
4. Aspect sentiment classification --
5. Aspect and entity extraction --
6. Sentiment lexicon generation --
7. Analysis of comparative opinions --
8. Opinion summarization and search --
9. Analysis of debates and comments --
10. Mining intentions --
11. Detecting fake or deceptive opinions --
12. Quality of reviews.

✦ Subjects

Procesamiento de lenguaje natural (Computación).;Lingüística computacional.;Opinión pública -- Procesamiento de datos.;Minería de datos.