UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 10
October-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1810682


Registration ID:
189915

Page Number

495-498

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Title

PRETEND ENQUITY FINDING BASED ON SMSDA METHOD

Abstract

As a side effect of increasingly popular social networks, cyberbullying has become a serious problem for children, adolescents and young people. Automated computation techniques automatically detect bullying messages on the potential of social networks, and this can help build a safe and environment-friendly environment. In this area of meaningful research, an important conclusion is numerical learning and numerical representation in message messages. In this view, we suggest a new course to attack this suggestion. Our sample encoded Encoder is enhanced, by joining the lexical refining of a sharp person, always joining without characters, and is called every rotary encoder program. The Pictal List consists of re-activating fire restrictions and Bohemian obstacles, and the high behavior of morphological conflicts that provide jobs for administrative adjustment and large milling. Our vimana excuse is to keep admiring the Secret to form a plentiful council and to provide an extreme and dirty summary report. The combined experience of two novice programmers (Twitter and MySpace) is a convoy, and the results are obtained so that we can overcome the new approach to getting regularity habits.

Key Words

Virtual bullying Detection, Text Mining, Representation Learning, Stacked Denoising Autoencoders, Word Embedding

Cite This Article

"PRETEND ENQUITY FINDING BASED ON SMSDA METHOD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.495-498, October-2018, Available :http://www.jetir.org/papers/JETIR1810682.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PRETEND ENQUITY FINDING BASED ON SMSDA METHOD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp495-498, October-2018, Available at : http://www.jetir.org/papers/JETIR1810682.pdf

Publication Details

Published Paper ID: JETIR1810682
Registration ID: 189915
Published In: Volume 5 | Issue 10 | Year October-2018
DOI (Digital Object Identifier):
Page No: 495-498
Country: --, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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