Sentiment Analysis of Social Network Feeds for Threat Protection
Nameer Khan1, Aqeel Khalique2, Tabrej A. Khan3, Imran Hussain4
1Nameer Khan*, Department of Computer Science and Engineering, Jamia Hamdard, New Delhi, India.
2Aqeel Khalique, Department of Computer Science and Engineering, Jamia Hamdard, New Delhi, India.
3Tabrej A. Khan, Department of Computer Science and Engineering, Jamia Hamdard, New Delhi, India.
4Imran Hussain, Department of Computer Science and Engineering, Jamia Hamdard, New Delhi, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 30, 2020. | Manuscript published on May 10, 2020. | PP: 439-445 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5259059720/2020©BEIESP | DOI: 10.35940/ijitee.G5259.059720
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Social Network becomes widely accepted by the users and active communication tool in 21st century. In this paper, we use test data of Twitter, for sentiment analysis. Users may post vulnerable tweets which can result in threats; hence we analyze these tweets to determine threat warnings from specific group of users or organizations. We discuss brief literature review and present our methodology for doing sentiment analysis. We find several users most active and regularly mentioning other users. Based on our results, we present our analysis in the paper. Dataset was requested from Kaggle for research purposes.
Keywords: Sentiment Analysis, Online Threat Protection, Social Network Feeds, Community Protection
Scope of the Article: Social Networks