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Classification Of Fake News Headline Based On Neural Networks. (arXiv:2201.09966v1 [cs.CL])
Jan. 26, 2022, 2:10 a.m. | Ke Yahan, Ruyi Qu, Lu Xiaoxia
cs.CL updates on arXiv.org arxiv.org
Over the last few years, Text classification is one of the fundamental tasks
in natural language processing (NLP) in which the objective is to categorize
text documents into one of the predefined classes. The news is full of our
life. Therefore, news headlines classification is a crucial task to connect
users with the right news. The news headline classification is a kind of text
classification, which can be generally divided into three mainly parts: feature
extraction, classifier selection, and evaluations. …
arxiv classification fake fake news networks neural networks news
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