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85151

An Automated Sentiment Analysis of The Sun and USA Today's Anti-Trump Protests News Articles in 2018

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Last updated: 22 Jan 2023

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Abstract

Tracing sentiments in discourse has been grabbing the attention of both researchers and professionals and since it can provide clues to views, attitudes, prediction of reactions, etc. The use of sentiments in news coverage texts is to be attended to since it, definitely, has an impact on the public opinion. Adopting sentiment analysis, this study examines the use of sentiments in the news articles of the two most circulated UK and U.S. newspapers during 2018-2019, namely The Sun and USA Today [online versions], as delivering the same news of the anti-Trump protests in the UK and the USA associated with the president's visit to the UK in 2018. The analysis, following the lexicon-based approach, is conducted in three stages: 1. subjectivity detection; 2. polarity (i.e. semantic orientation) identification; 3. magnitude (i.e. intensity) assessment. Based on the analysis conducted, a conclusion is made that both newspapers articles on the issue are generally objective and that USA Today's use of subjective language is more restricted in volume yet more sentimental.  

DOI

10.21608/jwadi.2019.85151

Keywords

sentiments, Sentiment Analysis, Subjectivity, polarity, magnitude

Authors

First Name

Sara Mohamed

Last Name

Awad

MiddleName

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Affiliation

Assistant Professor Department of Languages, Sadat Academy for Management Sciences, Egypt

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Volume

24

Article Issue

24 - الجزء الأول

Related Issue

12829

Issue Date

2019-10-01

Receive Date

2020-04-23

Publish Date

2019-10-01

Page Start

75

Page End

88

Print ISSN

2536-9555

Online ISSN

2682-4582

Link

https://jwadi.journals.ekb.eg/article_85151.html

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https://jwadi.journals.ekb.eg/service?article_code=85151

Order

8

Type

المقالة الأصلية

Type Code

1,243

Publication Type

Journal

Publication Title

مجلة وادي النيل للدراسات والبحوث الإنسانية والاجتماعية والتربويه

Publication Link

https://jwadi.journals.ekb.eg/

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Article

Created At

22 Jan 2023