Conducting sentiment analysis:

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 do...

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Bibliographische Detailangaben
Hauptverfasser: Lei, Lei 1981- (VerfasserIn), Liu, Dilin ca. 20./21. Jh (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cambridge Cambridge University Press 2021
Schriftenreihe:Cambridge elements. Elements in corpus linguistics
Schlagworte:
Online-Zugang:DE-12
DE-473
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Zusammenfassung: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
Beschreibung:Title from publisher's bibliographic system (viewed on 31 Aug 2021)
Beschreibung:1 Online-Ressource (104 Seiten)
ISBN:9781108909679
DOI:10.1017/9781108909679

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