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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 |
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| Paper Title: | 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: | 000336851 |
| 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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