Book review - Conducting sentiment analysis: Lei L. & Liu D. Elements in Corpus Linguistics, CUP

Siyu Lei, Chu-Ren Huang

Research output: Journal article publicationReview articleAcademic researchpeer-review

Abstract

Sentiment analysis is an important task in corpus linguistics and natural language processing. Based on statistical and machine-learning algorithms, texts’ subjective evaluations and emotional states can be detected, extracted, and classified. Sentiment analysis results are significant to the development of many different industries in the financial, political, medical, and entertainment domains. They are beneficial to make relevant stakeholders have a good command of public attitudes to products, policies, medical treatment, and services in order to make appropriate adjustments. Lei and Liu provide a comprehensive and concise introduction to sentiment analysis to assist students and academics in understanding the theoretical aspects and the application of sentiment analysis.
Original languageEnglish
Pages (from-to)1373–1377
JournalLanguage Resources and Evaluation
Volume56
Issue number4
Early online date30 Apr 2022
DOIs
Publication statusPublished - Dec 2022

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