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Reseach Article

Markov Process for Behaviour Analysis in Social Media

Published on July 2016 by Ashwin Perti, Munesh Chandra Trivedi
National Conference on Next Generation Technologies for e-Business, e-Education and e-Society
Foundation of Computer Science USA
NGTBES2016 - Number 1
July 2016
Authors: Ashwin Perti, Munesh Chandra Trivedi
1213b5c8-bf5d-4938-87a1-ac7c7cde3e88

Ashwin Perti, Munesh Chandra Trivedi . Markov Process for Behaviour Analysis in Social Media. National Conference on Next Generation Technologies for e-Business, e-Education and e-Society. NGTBES2016, 1 (July 2016), 31-33.

@article{
author = { Ashwin Perti, Munesh Chandra Trivedi },
title = { Markov Process for Behaviour Analysis in Social Media },
journal = { National Conference on Next Generation Technologies for e-Business, e-Education and e-Society },
issue_date = { July 2016 },
volume = { NGTBES2016 },
number = { 1 },
month = { July },
year = { 2016 },
issn = 0975-8887,
pages = { 31-33 },
numpages = 3,
url = { /proceedings/ngtbes2016/number1/25546-3514/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Next Generation Technologies for e-Business, e-Education and e-Society
%A Ashwin Perti
%A Munesh Chandra Trivedi
%T Markov Process for Behaviour Analysis in Social Media
%J National Conference on Next Generation Technologies for e-Business, e-Education and e-Society
%@ 0975-8887
%V NGTBES2016
%N 1
%P 31-33
%D 2016
%I International Journal of Computer Applications
Abstract

Social Network Analysis (SNA) provides tools to examine relationships between people. Here Markov Process is used to examine the behavior of the people involved in Social Networks. Markov process is the stochastic process in which the behavior evolves over time in a probabilistic manner. In this paper, Markov process is used to describe people's interests and to find out the people with similar interests. It is found that the expected positive relationship between sharing interests and communicating among people. Here focus is on analyzing the behavior of people who are using Social Networking sites.

References
  1. B. Pang, L. Lee, and S. Vaithyanathan. 2002. Thumbs up? sentiment classification using machine learning techniques. In Proceedings of EMNLP, pages 79–86.
  2. Rupali P. Jondhale and Manisha P. Mali, (Feb. 2015), "Study on Distinct Approaches for Sentiment Analysis", in IJCA, Volume 14, Pg. 21-24.
  3. Walaa Medhat, Ahmed Hassan , Hoda Korashy. Sentiment analysis algorithms and applications: A survey. Published on 27 May, 2014, hosting by Elsevier B. V. on behalf of Ain Shams University.
  4. F. Li, M. Huang, and X. Zhu. 2010. Sentiment analysis with global topics and local dependency. In Proceedings of AAAI, pages 1371–1376.
  5. C. Lin and Y. He. 2009. Joint sentiment/topic model for sentiment analysis. In Proceeding of the 18th ACM. Conference on Information and Knowledge Management, pages 375–384.
Index Terms

Computer Science
Information Sciences

Keywords

Markov Process Stochastic Process.