International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,August 2017,

Topic : Automated Tormenting Recognition in light of Semantic-Enhanced Marginalized Stacked Denoisng Auto-Encoder

Authors:Megha Rani Raigonda || Bhavani Namdar

Abstract:Social media now a day is a major communication bridge among peoples almost around the world which helps them to share their day to day activities to the one who is in contact with them in that network; hence it acts as an intermediary among them. As social media have many excellent features for better communication, it does have the many drawbacks which may hurt the intensions of the peoples sometimes due to some weird actions of the users on social media, such as teasing or posting something which hurts the user intensions by using bullying or tormenting words. The major criterion to deal this problem is learning robust representations of texts through text mining concepts in machine learning and NLP. So to prevent this kind of activities on social networks, we are proposing a technique named Semantic-Enhancement for Marginalized Denoising Auto- Encoder(smSDA), which is an extension of the admired machine learning technique Stacked Denoising Auto- Encoder (SDA)..

Keywords: Tormenting Recognition, Machine Learning, Social Network, Text mining, Semantic-Enhancement

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DOI: 01.1617/vol4/iss8/pid68124


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799


ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Contact : info@ijercse.com


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