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.
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