An Automated Sentiment Analysis of The Sun and USA Today's Anti-Trump Protests News Articles in 2018 | ||||
| مجلة وادي النيل للدراسات والبحوث الإنسانية والاجتماعية والتربويه | ||||
| Article 8, Volume 24, 24 - الجزء الأول, October 2019, Page 75-88 PDF (554.58 K) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/jwadi.2019.85151 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Sara Mohamed Awad | ||||
| Assistant Professor Department of Languages, Sadat Academy for Management Sciences, Egypt | ||||
| 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. | ||||
| Keywords | ||||
| sentiments; sentiment analysis; subjectivity; polarity; magnitude | ||||
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