INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Social Media Analysis and Opinion Mining on Politics
Authors Name:
Mr. Rohit Pal
, Dr. A.P. Shukla
Unique Id:
IJSDR2404008
Published In:
Volume 9 Issue 4, April-2024
Abstract:
The majority of computational methods for opinion mining have concentrated on sentiment categorization for blogs or reviews, including product reviews. In order to ascertain sentiment or stance toward a certain target of interest, this paper analyzes socio-political opinion mining, with a focus on social media platforms like Facebook and Twitter. We investigate the problems of automatically inferring from political opinion in social media whether the author of a given text is in favor of or against a target, a problem known as stance detection, and whether the author is positive or negative towards a target and aspects of the target, a problem known as fine-grained opinion mining. The suggested models have been tested using political Twitter and Facebook datasets.
Keywords:
opinion, Politics, social media, etc.
Cite Article:
"Social Media Analysis and Opinion Mining on Politics", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.63 - 67, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404008.pdf
Downloads:
000338171
Publication Details:
Published Paper ID: IJSDR2404008
Registration ID:210621
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 63 - 67
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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