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Bengali Fake News Detection Using Machine Learning

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dc.contributor.author Balo, Aditi
dc.contributor.author Islam, Jamiul
dc.contributor.author Baki, Abdullah Al
dc.date.accessioned 2020-01-22T14:25:31Z
dc.date.available 2020-01-22T14:25:31Z
dc.date.issued 2019-05
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3619
dc.description.abstract This project based on NLP (Natural Languages Processing) techniques. The aim of this project is to identify the fake news of non-reputed news portal and to deliver the natural news or actual news to the news reader. As fake news misleads a great mishap among people so as a request of public demand we are going to run a model to detect all kinds of fake news. We collect data from reputed and non-reputed online news portal. This model build base on Bag of word (convert text format into vactorize format), tfidf matrix (extract facture) and RandomForestClassifier (for train and test dataset).By using this model we also create a predication where we test out site data is this data news fake or real. By using word tokenize we collect maximum number of keywords into our dataset for fake news and real news actually our model give result by comparing the dataset keywords. Our model achieves 86% accuracy. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.relation.ispartofseries ;P13342
dc.subject Computer science en_US
dc.subject Machine learning en_US
dc.subject Fake news en_US
dc.title Bengali Fake News Detection Using Machine Learning en_US
dc.type Other en_US

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