ArticleOpen Access http://dx.doi.org/10.26855/jhass.2024.04.024
A Linguistic Study of Thai International News Headlines Based on Quantitative Linguistics
Shi Chen*, Mingyao Huang
Guangdong University of Foreign Studies, Guangzhou, Guangdong, China.
*Corresponding author: Shi Chen
Published: May 29,2024
Abstract
This article compiles news materials from Thailand's mainstream media from August 2015 to August 2021, including Public Opinion, Frontline, Daily News, Thai Lat News, New News, Siam Politics, BBC (Thai), National Newspaper, and the Thai Post. A total of 650,039 news titles were collected. Through classification tag screening, 8620 international news articles were obtained, accounting for 1.33%. After completing the collection of the news corpus, the author performed word segmentation by using the Python library of PyThaiNLP. Through automatic word segmentation and manual review, a Thai news headline corpus was finally obtained with a sample size of 8620 headlines, a total of 6076 types, and a total of 176,512 tokens. From the analysis of the subject words, it can be inferred that the COVID-19 epidemic has been the primary focus of Thailand's international news in recent years. The word COVID-19 ranks first with a frequency of 1,429. In addition, there are other manifestations of COVID-19, with a total frequency of 2,292. The popularity of this event surpasses that of all others. In addition, Myanmar's military issues are also receiving significant attention in international news coverage in Thailand.
Keywords
Quantitative linguistics, Thai language, news headlines
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How to cite this paper
A Linguistic Study of Thai International News Headlines Based on Quantitative Linguistics
How to cite this paper: Shi Chen, Mingyao Huang. (2024) A Linguistic Study of Thai International News Headlines Based on Quantitative Linguistics. Journal of Humanities, Arts and Social Science, 8(4), 953-958.
DOI: http://dx.doi.org/10.26855/jhass.2024.04.024