Current Result Document :
| 한글제목(Korean Title) |
NLP와 Siamese Neural Networks를 이용한 뉴스 사실 확인 인공지능 연구 |
| 영문제목(English Title) |
Fake News Checking Tool Based on Siamese Neural Networks and NLP |
| 저자(Author) |
사프루노브 바딤
강서원
이경현
Saprunov Vadim
Sung-Won Kang
Kyung-hyune Rhee
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| 원문수록처(Citation) |
VOL 29 NO. 01 PP. 0627 ~ 0630 (2022. 05) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Over the past few years, fake news has become one of the most significant problems. Since it is impossible to prevent people from spreading misinformation, people should analyze the news themselves. However, this process takes some time and effort, so the routine part of this analysis should be automated. There are many different approaches to this problem, but they only analyze the text and messages, ignoring the images. The fake news problem should be solved using a complex analysis tool to reach better performance. In this paper, we propose the approach of training an Artificial Intelligence using an unsupervised learning algorithm, combined with online data parsing tools, providing independence from subjective data set. Therefore it will be more difficult to spread fake news since people could quickly check if the news or article is trustworthy. |
| 키워드(Keyword) |
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| 파일첨부 |
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