| Description |
1 online resource (104 pages) : color illustrations |
| Series |
Cambridge elements. Elements in corpus linguistics |
|
Cambridge elements. Elements in corpus linguistics.
|
| Contents |
Sentiment analysis : background -- Methods for sentiment analysis -- How to do sentiment analysis with R -- Case study 1: A diachronic analysis of sentiments and emotions in the State of the Union Addresses -- Case study 2: A sentiment and emotion analysis of movie reviews -- Conclusion: Where we are and where we are heading |
| Summary |
This Element provides a basic introduction to sentiment analysis, aimed at helping students and professionals in corpus linguistics to understand what sentiment analysis is, how it is conducted, and where it can be applied. It begins with a definition of sentiment analysis and a discussion of the domains where sentiment analysis is conducted and used the most. Then, it introduces two main methods that are commonly used in sentiment analysis known as "supervised machine-learning" and "unsupervised learning (or lexicon-based)" methods, followed by a step-by-step explanation about how to perform sentiment analysis with R. The Element then provides two detailed examples or cases of sentiment and emotion analysis, with one using an unsupervised method and the other using a supervised learning method |
| Bibliography |
Includes bibliographical references (pages 97-104) |
| Notes |
Description based on online resource; title from digital title page (viewed on September 7, 2021) |
| Subject |
Sentiment analysis.
|
|
Sentiment analysis
|
| Form |
Electronic book
|
| Author |
Liu, Dilin, author.
|
| ISBN |
9781108909679 |
|
1108909671 |
|
9781108905695 |
|
1108905692 |
|
