Sentiment analysis : mining opinions, sentiments, and emotions / Bing Liu.
Series: Studies in natural language processingPublisher: Cambridge : Cambridge University Press, 2020Edition: Second editionDescription: 1 online resource (xvii, 431 pages) : digital, PDF file(s)Content type:- text
- computer
- online resource
- 9781108639286 (ebook)
- 006.3/12 23
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Shelf location | Call number | Materials specified | Vol info | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Main Collection | Taylor's Library - Perpetual(TU) | 006.3/12 (Browse shelf(Opens below)) | e-book | SOMMx,93601,03,RM,PPT |
Title from publisher's bibliographic system (viewed on 21 Sep 2020).
Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and also new material on emotion and mood analysis techniques, emotion-enhanced dialogues, and multimodal emotion analysis.