Trend Analysis on Social Networking using Opinion Mining : A Survey

Authors(2) :-Saurin Dave, Prof. Hiteishi Diwanji

The increasing popularity of social media in recent years has created new opportunities to study the interactions of different groups of people. Never before have so many data about such a large number of individuals been readily avail-able for analysis. Two popular topics in the study of social networks are community detection and finding trends. Sentiment Analysis (SA) is an ongoing field of research in text mining field. SA is the computational treatment of opinions, sentiments and subjectivity of text. Trend Analysis also sometimes interchange the term with the “Sentiment Analysis” (SA). The related fields to Sentiment Analysis (transfer learning, emotion detection, and building resources) that attracted researchers recently are discussed. The main target of this survey is to give nearly full image of SA techniques and the related fields with brief details. The main contributions of this paper include the sophisticated categorizations of a large number of recent articles and the illustration of the recent trend of research in the trend analysis and integration of community detection along with the sentiment analysis.

Authors and Affiliations

Saurin Dave
Information Technology Department, L. D. College of Engineering, Ahmedabad, Gujarat, India
Prof. Hiteishi Diwanji
Information Technology Department, L. D. College of Engineering, Ahmedabad, Gujarat, India

Trend Analysis, Sentiment Analysis, Opinion Mining, Text Mining, Emotion Detection

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  2. Xing Fang* and Justin Zhan “Sentiment analysis using product review data” Journal of Big Data (2015) 2:5, DOI 10.1186/s40537-015-0015-2
  3. Zhengzhang Chen, William Hendrix, Nagiza F. Samatova, “Community-based anomaly detection in evolutionary networks”, © Springer Science+Business Media, LLC 2011
  4. Stephen Ranshous, Shitian Shen, Danai Koutra, Steve Harenberg, Christos Faloutsos3 and Nagiza F. Samatova, “Anomaly detection in dynamic networks: a survey”, Volume 7, May/June 2015, © 2015 The Authors. WIREs Computational Statistics published by Wiley Periodicals, Inc.

Publication Details

Published in : Volume 1 | Issue 6 | November-December 2015
Date of Publication : 2015-12-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 302-305
Manuscript Number : IJSRSET151657
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Saurin Dave, Prof. Hiteishi Diwanji, " Trend Analysis on Social Networking using Opinion Mining : A Survey, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 6, pp.302-305, November-December-2015.
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