32.3231, Books: Conducting Sentiment Analysis: Lei, Liu
The LINGUIST List
linguist at listserv.linguistlist.org
Wed Oct 13 19:58:53 UTC 2021
LINGUIST List: Vol-32-3231. Wed Oct 13 2021. ISSN: 1069 - 4875.
Subject: 32.3231, Books: Conducting Sentiment Analysis: Lei, Liu
Moderator: Malgorzata E. Cavar (linguist at linguistlist.org)
Student Moderator: Jeremy Coburn, Lauren Perkins
Managing Editor: Becca Morris
Team: Helen Aristar-Dry, Everett Green, Sarah Robinson, Nils Hjortnaes, Joshua Sims, Billy Dickson
Jobs: jobs at linguistlist.org | Conferences: callconf at linguistlist.org | Pubs: pubs at linguistlist.org
Homepage: http://linguistlist.org
Please support the LL editors and operation with a donation at:
https://funddrive.linguistlist.org/donate/
Editor for this issue: Billy Dickson <billyd at linguistlist.org>
================================================================
Date: Wed, 13 Oct 2021 15:58:16
From: Eleanor Hennerley [ehennerley at cambridge.org]
Subject: Conducting Sentiment Analysis: Lei, Liu
Title: Conducting Sentiment Analysis
Publication Year: 2021
Publisher: Cambridge University Press
http://cambridge.org
Book URL: https://www.cambridge.org/us/academic/subjects/languages-linguistics/applied-linguistics-and-second-language-acquisition/conducting-sentiment-analysis?format=PB
Author: Lei Lei
Author: Dilin Liu
Paperback: ISBN: 9781108829212 Pages: Price: U.S. $ 20.00
Paperback: ISBN: 9781108829212 Pages: Price: U.K. £ 15.00
Paperback: ISBN: 9781108829212 Pages: Price: Europe EURO 17.51
Abstract:
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.
1. Sentiment analysis: Background; 2. Methods for sentiment analysis; 3. How
to do sentiment analysis with R; 4. Case study 1: A diachronic analysis of
sentiments and emotions in the State of the Union Addresses; 5. Case study 2:
A sentiment and emotion analysis of movie reviews; 6. Conclusion: Where we are
and where we are heading; References.
Linguistic Field(s): Applied Linguistics
Computational Linguistics
Written In: English (eng)
See this book announcement on our website:
http://linguistlist.org/pubs/books/get-book.cfm?BookID=157014
------------------------------------------------------------------------------
*************************** LINGUIST List Support ***************************
The 2020 Fund Drive is under way! Please visit https://funddrive.linguistlist.org
to find out how to donate and check how your university, country or discipline
ranks in the fund drive challenges. Or go directly to the donation site:
https://crowdfunding.iu.edu/the-linguist-list
Let's make this a short fund drive!
Please feel free to share the link to our campaign:
https://funddrive.linguistlist.org/donate/
----------------------------------------------------------
LINGUIST List: Vol-32-3231
----------------------------------------------------------
More information about the LINGUIST
mailing list