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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Improving Spam Detection on Online Social Media with hybrid classification techniques on Twitter platform
Authors Name: Rohini More , Sunilkumar N. Jaiswal
Unique Id: IJSDR1806006
Published In: Volume 3 Issue 6, June-2018
Abstract: As the World Wide web is increasing day by day, tweets ar a reliable thanks to communicate and conjointly the fastest thanks to send information from one place to a special. Most transactions, whether or not or not they're a business or a business, use Twitter as a communications mode. Twitter is also a completely effective declare communication as a results of it helps in amount of your time communication, that saves time and cash. in addition to their edges, tweets have jointly been sick with spam attacks. Spam tweets ar typically accustomed send tweets in bulk to the sender. Spam will flood world wide web with many copies of comparable messages scattered at intervals the main points. These messages ar sent to unwanted recipients. we'll analyze information|the info|the information} mining ways for spam information throughout a spread of the thanks to obtain the foremost effective classification for Tweeting. As a region of this text, we'll describe the classification of Tweet to identify spam, not spam. For this reason, we've got an inclination to use the Naive theorem Classifier and build a speaker organization to exclude spam and not spam.
Keywords: Tweets spam, Classification, Feature Extraction, Naive Bayesian Classifier,Stanford Classifier
Cite Article: "Improving Spam Detection on Online Social Media with hybrid classification techniques on Twitter platform", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 6, page no.26 - 32, June-2018, Available :http://www.ijsdr.org/papers/IJSDR1806006.pdf
Downloads: 000251438
Publication Details: Published Paper ID: IJSDR1806006
Registration ID:180364
Published In: Volume 3 Issue 6, June-2018
DOI (Digital Object Identifier):
Page No: 26 - 32
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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