International Journal of Advanced Culture Technology

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
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News Article Identification Methods in Natural Language Processing on Artificial Intelligence & Bigdata

  • Kang, Jangmook (Dept. of Hacking & Security, Far East Univ.) ;
  • Lee, Sangwon (Dept. of Computer & Software Engineering, Wonkwang Univ.)
  • Received : 2021.08.17
  • Accepted : 2021.09.04
  • Published : 2021.09.30
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Abstract

This study is designed to determine how to identify misleading news articles based on natural language processing on Artificial Intelligence & Bigdata. A misleading news discrimination system and method on natural language processing is initiated according to an embodiment of this study. The natural language processing-based misleading news identification system, which monitors the misleading vocabulary database, Internet news articles, collects misleading news articles, extracts them from the titles of the collected misleading news articles, and stores them in the misleading vocabulary database. Therefore, the use of the misleading news article identification system and methods in this study does not take much time to judge because only relatively short news titles are morphed analyzed, and the use of a misleading vocabulary database provides an effect on identifying misleading articles that attract readers with exaggerated or suggestive phrases. For the aim of our study, we propose news article identification methods in natural language processing on Artificial Intelligence & Bigdata.

Keywords

Acknowledgement

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2018S1A5A2A03038738 / Algorithm Design & Software Architecture Modeling to Judge Fake News based on Artificial Intelligence).

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