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- W3000466293 abstract "Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to identify significant patterns and correlations hidden in the data. This study seeks to determine the state of text mining research by examining the developments within published literature over past years and provide valuable insights for practitioners and researchers on the predominant trends, methods, and applications of text mining research. In accordance with this, more than 200 academic journal articles on the subject are included and discussed in this review; the state-of-the-art text mining approaches and techniques used for analyzing transcripts and speeches, meeting transcripts, and academic journal articles, as well as websites, emails, blogs, and social media platforms, across a broad range of application areas are also investigated. Additionally, the benefits and challenges related to text mining are also briefly outlined." @default.
- W3000466293 created "2020-01-23" @default.
- W3000466293 creator A5020799113 @default.
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- W3000466293 creator A5037960046 @default.
- W3000466293 date "2020-01-16" @default.
- W3000466293 modified "2023-10-11" @default.
- W3000466293 title "Text Mining in Big Data Analytics" @default.
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