IJFANS International Journal of Food and Nutritional Sciences
ISSN PRINT 2319 1775 Online 2320-7876
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Effect of Biostimulants (Azospirillum, Pseudomonas and Bacillus) on the growth and disease suppression of neem Azadirachta indica (A) juss.seedlings
Volume 13 | Issue 4
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“Pigments of Imagination & Color Psychology of Consumers towards Apparel: A Perceptual Study”
Volume 13 | Issue 4
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Exploring The Relationship Between Weather Patterns and Energy Consumption in Smart Homes: A Regression Analysis
Volume 13 | Issue 4
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DEEP LEARNING BASED APPROACH FOR BIRD SPECIES IDENTIFICATION AND CLASSIFICATION
Volume 13 | Issue 4
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ML-DRIVEN WASTE CLASSIFICATION FOR EFFECTIVE ORGANIC AND NON-ORGANIC WASTE MANAGEMENT
Volume 13 | Issue 4
YOUTUBE SPAM COMMENTS DETECTION USING MACHINE LEARNING
Main Article Content
Abstract
People now feel more comfortable socializing over the internet through popular social networking and media websites than face to face. YouTube is a Fastly popular social media site which is expanding at very fast pace. YouTube depends mostly on user created contents and sharing and spreading. YouTube has become more susceptible to different types of unwanted and malicious spammers. This project classifies whether the comments are legitimate or spam comments.
