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
Topic Discovery and Opinion Mining from Twitter data
Authors Name:
Minu T Lalson
Unique Id:
IJSDR1706048
Published In:
Volume 2 Issue 6, June-2017
Abstract:
Twitter is one of the most visited social media site by people. People ‘talk’ on different trending social events. They share their opinion with other users. The document streams published in twitter are commonly called ‘tweets’. The content of tweets reflects to some topics. Some topics discussed among a group of people may be based on any event happened on a particular location. Therefore twitter can be used as a source of data for topic discovery and opinion mining. The idea is to build a system that do both process: Topic discovery and opinion mining. This idea can be implemented in twitter like micro blogging sites for rare event discovery and user behavior analysis. TF-IDF and SentiWordNet can be used for topic discovery and opinion mining respectively.
Keywords:
Sentiment analysis, text mining, topic discovery, twitter, user behavior
Cite Article:
"Topic Discovery and Opinion Mining from Twitter data", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 6, page no.327 - 329, June-2017, Available :http://www.ijsdr.org/papers/IJSDR1706048.pdf
Downloads:
000337071
Publication Details:
Published Paper ID: IJSDR1706048
Registration ID:170537
Published In: Volume 2 Issue 6, June-2017
DOI (Digital Object Identifier):
Page No: 327 - 329
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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