A Machine Learning Approach towards Social Media to Improving the Performance

Authors

  • Sainudeen Jp Department of Computer Science&Engineering, Mangalam College of Engineering, Kerala, India
  • Sujitha M Department of Computer Science&Engineering, Mangalam College of Engineering, Kerala, India
  • Kurian SM Department of Computer Science&Engineering, Mangalam College of Engineering, Kerala, India
  • John NM Department of Computer Science&Engineering, Mangalam College of Engineering, Kerala, India

DOI:

https://doi.org/10.26438/ijcse/v7i1.956960

Keywords:

Machine learning, Weka, Classification algorithms, Lexical analysis

Abstract

The predominance of web-based entertainment is growing step by step y. Individuals of all age bunch are horribly intrigued by long range informal communication. Web-based entertainment associates individuals from various areas of the planet. In any case, online entertainment might have a few aftereffects, for example, digital tormenting, which might adversely affect the existence of individuals. Research shows that youngsters and teens are the fundamental survivors of this digital assault. Through the virtual entertainment, individuals share their considerations and feelings with their companions. There are enormous quantities of misrepresentation accounts in virtual entertainment. Digital tormenting is the point at which somebody, disturb others via web-based entertainment locales. Certain individuals use it for digital assault by offering negative remarks on others post. One method for handling this issue is to identify those harassing messages and scramble it. AI procedures make programmed identification of digital tormenting messages. Weka is a power full AI instrument which can be utilized for this reason. A mix of grouping and lexical algorithms can recognize regardless of whether a message is harassing.

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Published

2019-01-31
CITATION
DOI: 10.26438/ijcse/v7i1.956960
Published: 2019-01-31

How to Cite

[1]
J. P. Sainudeen, M. Sujitha, S. M. Kurian, and N. M. John, “A Machine Learning Approach towards Social Media to Improving the Performance”, Int. J. Comp. Sci. Eng., vol. 7, no. 1, pp. 956–960, Jan. 2019.

Issue

Vol. 7 No. 1 (2019): IJCSE January Edition

Section

Research Article

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