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Comprehensive Contemplation of Probabilistic Aspects in Intelligent Analytics

Comprehensive Contemplation of Probabilistic Aspects in Intelligent Analytics

Neeti Sangwan, Vishal Bhatnagar
Copyright: © 2020 |Volume: 11 |Issue: 1 |Pages: 26
ISSN: 1947-959X|EISSN: 1947-9603|EISBN13: 9781799806332|DOI: 10.4018/IJSSMET.2020010108
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MLA

Sangwan, Neeti, and Vishal Bhatnagar. "Comprehensive Contemplation of Probabilistic Aspects in Intelligent Analytics." IJSSMET vol.11, no.1 2020: pp.116-141. http://doi.org/10.4018/IJSSMET.2020010108

APA

Sangwan, N. & Bhatnagar, V. (2020). Comprehensive Contemplation of Probabilistic Aspects in Intelligent Analytics. International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 11(1), 116-141. http://doi.org/10.4018/IJSSMET.2020010108

Chicago

Sangwan, Neeti, and Vishal Bhatnagar. "Comprehensive Contemplation of Probabilistic Aspects in Intelligent Analytics," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) 11, no.1: 116-141. http://doi.org/10.4018/IJSSMET.2020010108

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Abstract

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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