Transcription of Fake News Detection - IJARIIT
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Gahirwal Manisha et. al; International Journal of Advance Research, Ideas and Innovations in Technology 2018, All Rights Reserved Page |817 ISSN: 2454-132X Impact factor: (Volume 4, Issue 1) Available online at: Fake News Detection Manisha Gahirwal Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra Sanjana Moghe Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra Tanvi Kulkarni Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra Devansh Khakhar Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra Jayesh Bhatia Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra ABSTRACT Fake news, one of the biggest new-age problems has the potential to mould opinions and influence decisions.
deceptive test by using a logistic regression classifier which is based on POS tags extracted from a corpus deceptive and truthful texts and achieves an accuracy of 72% which could be further improved by performing cross-corpus analysis of classification models and reducing the size of the input feature vector.
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