Topic Discovery and Opinion Mining from Twitter data
Sentiment analysis, text mining, topic discovery, twitter, user behavior
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.
"Topic Discovery and Opinion Mining from Twitter data", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 6, page no.327 - 329, June-2017, Available :https://ijsdr.org/papers/IJSDR1706048.pdf
Volume 2
Issue 6,
June-2017
Pages : 327 - 329
Paper Reg. ID: IJSDR_170537
Published Paper Id: IJSDR1706048
Downloads: 000347165
Research Area: Engineering
Country: Kottarakkara, Kollam, Kerala, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
