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subhra Kit - Using AI for detecting fake news

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by subhra dot icon Updated: Aug 6, 2022

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In this solution we have tried to detect fake news from a set news feeds. The feeds, in the form of csv files contains the headers as news_text and label. In myproj-fakenews-test.ipynb file we have tested the news feed from myproj-fakenews-test.csv data file and myproj-fakenews-train.csv train file. We have done it details in myproj-fakenews-analysis.ipynb project. Again we collected data from myproj-Articles_scraper.ipynb project. Added that data to the myproj-fakenews-train.csv file. again tested the data through myproj-fakenews-test.ipynb.

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In this solution we have tried to detect fake news from a set news feeds. The feeds, in the form of csv files contains the headers as news_text and label. In myproj-fakenews-test.ipynb file we have tested the news feed from myproj-fakenews-test.csv data file and myproj-fakenews-train.csv train file. We have done it details in myproj-fakenews-analysis.ipynb project. Again we collected data from myproj-Articles_scraper.ipynb project. Added that data to the myproj-fakenews-train.csv file. again tested the data through myproj-fakenews-test.ipynb.

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                                                                                  Deployment Information

                                                                                  Please add your kit solution or prototype source repository in this section. The test solution is available at: https://github.com/subhramukherjee/test_library-FakeNewsDetector1.git

                                                                                  Please add specific deployment instructions for this kit e.g. Installation, Dependencies etc. https://github.com/subhramukherjee/test_library-FakeNewsDetector1.git

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