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Text mining on social media data: a systematic literature review

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  • Sarah Bukhari
  • Muhammad Ramzan

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.

Suggested Citation

  • Sarah Bukhari & Muhammad Ramzan, 2024. "Text mining on social media data: a systematic literature review," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 16(1), pages 82-104.
    • Handle: RePEc:ids:injdan:v:16:y:2024:i:1:p:82-104
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