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Malayalm Fake News Detection Using Machine Learning

EasyChair Preprint no. 7399

3 pagesDate: February 1, 2022


Today everyone can access internet because of that there are different sources for online news. The news from social media is playing a huge role in controlling our life. This news can be fake or real. As common man to some extent users are unable to find out whether news is real or fake. Here users are trying finding a solution for this problem. The NLP techniques are used to detect the fake news from different sources. To build the model the dataset and machine learning algorithms are used. To detect accuracy of the model machine learning algorithm is used.

Keyphrases: Count Vectorizer, machine learning, passiveaggressive algorithm, TF-IDF Vectorizer

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Anit Sara Santhosh and T K Bijimol},
  title = {Malayalm Fake News Detection Using Machine Learning},
  howpublished = {EasyChair Preprint no. 7399},

  year = {EasyChair, 2022}}
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