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假新闻检测

假新闻检测

118.08M
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News,NLP,Text Data Classification

数据结构 ? 118.08M

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    README.md

    Context In our society, the spread of fake news is increasing drastically due to which people are believing in unreal incidents. So it is utmost necessary to differentiate the real news from the fake ones and present them to society. Content There are three CSV files: 1.train.csv- 25117 rows and 5 columns named id, title, author, text, and label. 2.test.csv- 5881 rows and 4 columns named id, title, author, and text. 3.submit.csv- It is a sample file of how the output file should be. Inspiration Everyone deserves to know the actual happenings of the world. A model should be developed which will be able to differentiate the fake news from the real ones. Use the train data to build your model and use the test data to evaluate that model.
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