Fareed Hanna, Fanar and R. Flaih, Laith (2024) Reviewing Text Mining Techniques for Social Media Analysis. In: 5TH INTERNATIONAL CONFERENCE ON COMMUNICATION ENGINEERING AND COMPUTER SCIENCE (CIC-COCOS'24), 24-25/04/2024, Cihan University-Erbil.
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Abstract
Since the past decade, social media has emerged greatly and become a part of everyday activities of everyone’s life. The content being posted on different platforms has increased exponentially and created a huge database, this data has been a gold mine for researchers to dig deep and find trends and patterns, this research aided in detecting spam, removing harmful and offensive content, etc. in this paper the tools and techniques are explained, in addition to the applications that these tools are used for with examples of where they are applied.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Social Media, Exponential Growth, Big Data, Text Mining, Data Analysis. |
Subjects: | H Social Sciences > H Social Sciences (General) |
Divisions: | Department of Computer Science > Research papers |
Depositing User: | ePrints Depositor |
Date Deposited: | 18 Nov 2024 17:27 |
Last Modified: | 19 Nov 2024 11:06 |
URI: | https://eprints.cihanuniversity.edu.iq/id/eprint/2583 |