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  3. Conducting Sentiment Analysis
  • Additional resources for this publication available here.
  • Cited by 35
  • Lei Lei, Shanghai Jiao Tong University, China, Dilin Liu, University of Alabama
Publisher:
Cambridge University Press
Online publication date:
August 2021
Print publication year:
2021
Online ISBN:
9781108909679
DOI:
https://doi.org/10.1017/9781108909679
Subjects:
Research Methods in Linguistics, Applied Linguistics, Language and Linguistics
Series:
Elements in Corpus Linguistics
Information

Book description

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 of 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.

References

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