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  • 标题:Text Mining Challenges and Applications, A Comprehensive Review
  • 本地全文:下载
  • 作者:Muzammil Khan ; Sarwarshah Khan ; Yasser Alharbi
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2020
  • 卷号:20
  • 期号:12
  • 页码:138-148
  • DOI:10.22937/IJCSNS.2020.20.12.15
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:Text Mining which is known as text analysis, is defined as the process to extract the proper text patterns from the unstructured text data, which are collected from different written resources. The unstructured text data almost free and found in many different locations such as newspapers, books, the internet, etc. Text mining enables companies to naturally process information and create significant experiences by applied different Artificial Intelligence (AI) Algorithms. Thus, this leads these companies to make appropriate decisions in a data-driven business. In this article, review the main challenges and assessed the applications of major text mining techniques. The applications of each technique are thoroughly evaluated with comprehensive analysis.
  • 关键词:Text Mining; Information Extraction; Summarization; TM Challenges; TM Application
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