Conducting Sentiment Analysis
Lei Lei, Dilin Liu
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.
Categorías:
Año:
2021
Editorial:
Cambridge University Press
Idioma:
english
Páginas:
75
ISBN 10:
110882921X
ISBN 13:
9781108829212
Serie:
Elements in Corpus Linguistics
Archivo:
PDF, 2.99 MB
IPFS:
,
english, 2021