Big Data Cogn. Comput., Volume 4, Issue 1 (March 2020) – 3 articles
Cover Story (view full-size image): 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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