Title: Text mining on social media data: a systematic literature review
Authors: Sarah Bukhari; Muhammad Ramzan
Addresses: Department of Information Technology, Bahauddin Zakariya University, Multan, Pakistan ' Government Primary School Education Department, 105/WB, Vehari Road, Pakistan
Abstract: Text mining is the process of getting meaningful information from unstructured data. In this paper, a precise writing overview was directed to research text mining via online media information. Thus, a comprehensive deliberate writing audit (SLR) was completed to explore online media as a hotspot for the perception of text mining. For this reason, 40 articles were chosen from different notable sources after a concentrated SLR cycle of looking, sifting, and implementing the incorporation and avoidance models. As a result, the text mining strategies via web-based media information were featured regarding online media as a wellspring of data. A detail SLR which features the need of message mining methods on most recent online media information, cover more kinds of web-based media which were not shrouded in past work and furthermore present qualities and shortcomings of text mining strategies utilised in web-based media.
Keywords: social media; text mining; text mining techniques; role of social media; social media types.
DOI: 10.1504/IJDATS.2024.137480
International Journal of Data Analysis Techniques and Strategies, 2024 Vol.16 No.1, pp.82 - 104
Received: 26 May 2022
Accepted: 23 Dec 2022
Published online: 19 Mar 2024 *