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.
By:
Lei Lei (Shanghai Jiao Tong University China), Dilin Liu (University of Alabama) Imprint: Cambridge University Press Country of Publication: United Kingdom Dimensions:
Height: 228mm,
Width: 151mm,
Spine: 7mm
Weight: 180g ISBN:9781108829212 ISBN 10: 110882921X Series:Elements in Corpus Linguistics Pages: 75 Publication Date:23 September 2021 Audience:
Professional and scholarly
,
Undergraduate
Format:Paperback Publisher's Status: Active