Combining the Classification of Sentiments from Opinions

Authors

  • J. Soparia Department of Information Technology, Charotar University of Science and Technology, Gujarat, India
  • A. Thakkar Department of Information Technology, Charotar University of Science and Technology, Gujarat, India

DOI:

https://doi.org/10.37591/joadms.v3i1.648

Keywords:

Internet movie database, online social network, self-organizing maps

Abstract

Our day-to-day life has been influenced by varied perceptions of people. Their ideas and opinions have affected our own opinions. People give their own views on the particular product or services according to their usage application. Updating of data is necessary with every passing day which results into difficulty of examining and understanding these large amounts of data. So, it becomes difficult to examine all the varied opinions and come to a decision. This has motivated an interest in sentiment analysis and opinion in the recent years. If one user gives his opinion in sentence and the other gives in any star rating form, then this creates a limitation as it does not give any final conclusion to the opinion because the given opinions are in different forms. To overcome this limitation, we propose a method for aggregating the sentiments classified into different forms (Sentence opinion, Emoticons).

Cite this Article
Soparia and Thakkar. Combining the Classification of Sentiments from Opinions. Journal of Advanced Database Management & Systems. 2016; 3(1): 26–29p.

References

Nandi G, Das A. A survey on using data mining techniques for online social network analysis. Int. J. Comput. Sci. Issues (IJCSI). 2013: 10(6): 162–167p.

Adedoyin-Olowe et al. A survey of data mining techniques for social media analysis. arXiv preprint arXiv. 2013; 1312: 4617p. 3. Hunter, David R, et al. ERGM: A package to fit, simulate and diagnose exponential-family models for networks. Journal of Statistical Software. 2008; 24(3): 548–60p.

Govindarajan M. Sentiment Classification of Movie Reviews Using Hybrid Method. International Journal of Advances in Science Engineering and Technology. 2013; 3(4): 139p.

Anitha N, Anitha B, Pradeepa S, et al. Sentiment Classification Approaches– A Review.

Puteri et al. Finding “interesting” trends in social networks using frequent pattern mining and self-organizing maps. Knowledge-Based Systems, Elsevier. 2012; 29: 104–113p. 7. Jagtap VS, Karishma P. Analysis of different approaches to sentence-level sentiment classification. International Journal of Scientific Engineering and Technology. 2013; 293: 164–170p. 8. Hogenboom et al. A statistical approach to star rating classification of sentiment. Management Intelligent Systems. Springer Berlin Heidelberg. 2012; 251–260p.

GeetikaV, Sangharsh T. Facebook as a Corpus for Emoticons-Based Sentiment Analysis. International Journal of

Emerging Technology and Advanced Engineering. 2014; 4(5): 904–908p.

Alexander [email protected], Daniella [email protected], Flavius [email protected], Malissa [email protected], Franciska de Jong1,2 [email protected], Uzay [email protected] ,1Erasmus University Rotterdam, P.O. Box 1738, 3000 DR Rotterdam, the Netherlands, 2Universiteit Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands, 3Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, the Netherlands, Exploiting Emoticons in Sentiment Analysis.

Jayshri K, Mayur K. Machine Learning Algorithms for opinion mining and sentiment classification. International Journal of Scientific and Research Publications. Jun 2013; 3(6): 1–6p. 12. Scaria et al. Predicting Star Ratings of Movie Review Comments.

Downloads

Published

2016-04-20

Issue

Vol. 3 No. 1 (2016)

Section

Research Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.