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Comprehensive Contemplation of Probabilistic Aspects in Intelligent Analytics

Comprehensive Contemplation of Probabilistic Aspects in Intelligent Analytics
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Author(s): Neeti Sangwan (USICT, GGS Indraprastha University and MSIT, New Delhi, India) and Vishal Bhatnagar (Department of Computer Science and Engineering, Ambedkar Institute of Advanced Communication Technologies and Research, New Delhi, India)
Copyright: 2020
Volume: 11
Issue: 1
Pages: 26
Source title: International Journal of Service Science, Management, Engineering, and Technology (IJSSMET)
Editor(s)-in-Chief: Ahmad Taher Azar (Prince Sultan University, Riyadh, Kingdom of Saudi Arabi and Benha University, Egypt) and Ghazy Assassa (Benha University, Egypt)
DOI: 10.4018/IJSSMET.2020010108


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In Big Data analysis, the application of machine learning has proven to be a revolutionary. The systematic review of literature shows that research has been carried out on the domain of big data analytics particularly text analytics with the inclusion of machine learning approaches. This extensive survey deals with the data at hand that provides different ways and issues while combining the machine learning approaches with the text. During the course of the survey, various publications in the field of synchronous application of machine learning in text analytics were searched and studied. Classification framework is proposed as the contribution of machine learning in text analytics. A classification framework represented the various application areas to motivate researchers for future research on the application of two emerging technologies.

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