Paper Title
FAKE NEWS INDENTIFIER THROUGH MACHINE LEARNING
Article Identifiers
Registration ID: IJNRD_193363
Published ID: IJNRD2305236
: http://doi.one/10.1729/Journal.34190
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Keywords
fake news, social media, natural language processing, neural network
Abstract
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.
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How To Cite (APA)
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
Issue
Volume 8 Issue 5, May-2023
Pages : c262-c269
Other Publication Details
Paper Reg. ID: IJNRD_193363
Published Paper Id: IJNRD2305236
Research Area: Computer Engineeringรย
Author Type: Indian Author
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
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