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Big Data and Cognitive Computing, Volume 4, Issue 1

2020 March - 3 articles

Cover Story: In recent years, we have witnessed an increase in the quantities of available digital textual data, generating new insights and thereby opening up opportunities for research along new channels. In this rapidly evolving field of big data analytic techniques, text mining has gained significant attention across a broad range of applications. On the other hand, 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. View this paper
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Articles (3)

  • Article
  • Open Access
27 Citations
8,698 Views
19 Pages
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Opinion-Mining on Marglish and Devanagari Comments of YouTube Cookery Channels Using Parametric and Non-Parametric Learning Models

  • Sonali Rajesh Shah,
  • Abhishek Kaushik,
  • Shubham Sharma and
  • Janice Shah
Big Data Cogn. Comput.2020, 4(1), 3;https://doi.org/10.3390/bdcc4010003

17 March 2020

YouTube is a boon, and through it people can educate, entertain, and express themselves about various topics. YouTube India currently has millions of active users. As there are millions of active users it can be understood that the data present on th...

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  • Article
  • Open Access
250 Citations
39,780 Views
34 Pages
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Text Mining in Big Data Analytics

  • Hossein Hassani,
  • Christina Beneki,
  • Stephan Unger,
  • Maedeh Taj Mazinani and
  • Mohammad Reza Yeganegi
Big Data Cogn. Comput.2020, 4(1), 1;https://doi.org/10.3390/bdcc4010001

16 January 2020

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...

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Big Data Cogn. Comput. - ISSN 2504-2289
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