International Journal of Scientific and Research Publications

About Us
Editorial Board

Online Publication

Review Process
Publication Ethics

Call For Papers

Call for Research Paper


Online Submission
Paper Submission Guidelines
Online Publication Charge
Print Publication Charge
How to publish research paper
Publication Certificate
Research Catalogue


Join Reviewer Panel
Reviewer Guidelines

IJSRP Publications

Print Journal


IJSRP Paper Format

Contact Us

Feedback Form
Contact Us
Site Map

IJSRP, Volume 7, Issue 11, November 2017 Edition [ISSN 2250-3153]


Abstract: Sentimental Analysis Algorithm refers to the usage of statistics, natural language processing, and text to identify and extract the text sentiment into categories that can be termed as positive, negative, or neutral. Sentimental analysis is, therefore, the computational treatment of emotions, subjectivity of text and opinion. The present paper provides a comprehensive review of the proposed enhancement of algorithms and some sentimental analysis applications. Some of the areas investigated and presented in the article include emotion detection, transfer learning, and resource building. Sentimental analysis provides an opportunity to arrive at a decision that is binary; you are either for or against the decision. An example of such a binary question can be used on Twitter or political polls, e.g., “Do you support the use of nuclear warheads?” with the option of either answering Yes or No.

[Reference this Paper]   [BACK]

Ooops! It appears you don't have a PDF plugin for this barrPostingser. you can click here to download the PDF file.

Reference this Research Paper (copy & paste below code):

RUTUL BAKULKUMAR PANDYA (2017); Sentiment Analysis Algorithm; Int J Sci Res Publ 7(11) (ISSN: 2250-3153).



About Us
Editorial Board
Call for Paper

Call for Research Paper
Paper Status
IJSRP Paper Format
Join Us

Download e-journal
Join Forum
Invite Friends
Get Social with Us!

Copyright © 2011-2021, IJSRP Inc., All rights reserved.