Natural Language Processing - Dissemination of fake news is a matter of major concern that can result in national and social damage with devastating impacts. The misleading information on the internet is dubious and seems to be arduous for identification. Machine learning models are becoming an irreplaceable component in the detection of fake news spreading on the social media. LSTM is a memory based machine learning model for the detection of false news. LSTM has a promising approach and eradicates the issue of vanishing gradient in RNNs. The integration of natural language processing and LSTM model is considered to be effective in the false news identification.

jun

Kochi, India

https://ieeexplore.ieee.org/document/9885351/