Open Access Journal

ISSN : 2394-2320 (Online)

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

Monthly Journal for Computer Science and Engineering

Open Access Journal

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

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Noise Words Detection on Social Network Using Opinion Mining

Author : S.Sooria 1 J.Hariharan 2 M.Vignesh Kumar 3 K.Satheesh Kumar 4

Date of Publication :24th February 2018

Abstract: Opinion mining or sentiment analysis has been used to know about what people about their society and services in social media platforms. Millions of users share their opinions on in social media in day to day life The main objective of this paper is to design the framework for unwanted comments analysis in user home page Implement Semantic approach with classification an algorithm using Short Text Classification to classify the messages whether is positive or not Also filter short terms which are trained in big database Real-time mobile intimation at the time of offline block friends by predefined threshold value real time sentimental analysis on the comments that are extracted from the social network and detect bad words and block that commented person and provide real-time mobile intimation to the user.

Reference :

    1. Hussein, D.-M.E.D.M. A survey on sentiment analysis challenges. Journal of King Saud University – Engineering Sciences (2016), http :// dx. doi. Org /10. 1016 /j. jksues. 2016. 04. 02
    2. Po-Wei Liang, Bi-Ru Dai, “Opinion Mining on Social MediaData", IEEE 14th International Conference on Mobile Data Management,Milan, Italy, June 3- 6, 2013, pp 91-96, ISBN: 978- 1494673- 6068- 5, http :// doi. ieeecomputersociety. Org /10.1109 /MDM.2013.
    3. L. Fu, W. Huang, X. Gan, F. Yang, and X. Wang, “Capacity of wireless networks with social characteristics,” IEEE Trans. Wireless Commun., vol. 15, pp. 1505–1516, Feb. 2016.
    4. A. Montanari and A. Saberi, “The spread of innovations in social networks,” in Proc. National Academy of Sciences of the United States of America PNAS, Aug. 2010, pp. 20 196–20 201.

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