FAKE NEWS INDENTIFIER THROUGH MACHINE LEARNING

Registration ID: IJNRD_193363

Published ID: IJNRD2305236

DOI: http://doi.one/10.1729/Journal.34190

Mrs. Chetana Patil , Jigyas Subedi , Sujan Bhattarai , Bhoomika L , Chandan S Indalkar

fake news, social media, natural language processing, neural network

Technology is changing the way that we live our lives. With the advances in technology social media attains a lot of attention of the people around us. With this fake news for various commercial and political purposes has been appearing in large numbers and widespread in the online world. Users can get infected easily by this online fake news, which has brought about tremendous effects on the society. An important goal is to stop the spread of rumors and focus on the correct, authenticated news articles. This paper focuses on techniques such as natural language processing (NLP) techniques for text analytics and train deep learning models for detecting fake news based on news title or news content. Using this technique, text pre-processing such as regular expression, tokenization, lemmatization and stop words removal are used before vectorizing them into N-gram vectors or sequence vectors using terms frequency inverse document frequency (TF-IDF) or one-hot encoding respectively. With the help of Machine learning and natural language processing, author tried to aggregate the news and later determine whether the news is real or fake using deep neural networks. Experimental evaluation yields the best performance using Term Frequency-Inverted Document Frequency (TF-IDF) as feature extraction technique.

Published Paper   E-Certificate

Mrs. Chetana Patil, Jigyas Subedi, Sujan Bhattarai, Bhoomika L, & Chandan S Indalkar (May-2023). FAKE NEWS INDENTIFIER THROUGH MACHINE LEARNING. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), c262-c269. http://doi.one/10.1729/Journal.34190

Volume 8 Issue 5, May-2023

Pages : c262-c269

Paper Reg. ID: IJNRD_193363

Published Paper Id: IJNRD2305236

Downloads: 000121987

Research Area: Computer Engineering 

Country: Bengaluru, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305236.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305236

Crossref DOI: http://doi.one/10.1729/Journal.34190

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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