SENTIMENT ANALYSIS: A REVIEW

Authors

  • Nitin Kumar
  • Abhilash Shokeen

DOI:

https://doi.org/10.37591/joadms.v5i1.1539

Abstract

This paper compared research solely related to sentiment analysis. Various different approaches are compared based on the research work the authors have published. Sentiment analysis can be done on attitudes, reviews and sentiments. The sentiment analysis is done by first normalizing the data & then selecting the vocabulary to be used to find difference in the given text. Now the algorithm based on the user specification can be decided to extract the feature of the given text.

References

A clustering and opinion mining approach to socio-political analysis of the blogosphere in ICCIC 2010 by Singh and Vivek Kumar.

Sentiment Analysis and Opinion Mining in Morgan & Claypool Publishers, 2012 by Bing Liu.

Analysis of different approaches to Sentence-Level Sentiment Classification in IJSET 2013 by V. S. Jagtap and Karishma Pawar.

A Comparison of Document, Sentence, and Term Event Spaces in IEEE 2010 by Catherine Blake.

A semantic Based Information Retrieval Model for Blog in IEEE 2010 by Ying Chen, Wenping Guo, Xiaoming Zhao.

Citius: A Naive-Bayes Strategy for Sentiment Analysis on English Tweets in SemEval 2014 by Pablo Gamallo and Marcos Garcia.

Downloads

Published

2018-06-12

Issue

Vol. 5 No. 1 (2018)

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.