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Comprehensive Contemplation of Probabilistic Aspects in Intelligent Analytics

Author

Listed:
  • Neeti Sangwan

    (USICT, GGS Indraprastha University and MSIT, New Delhi, India)

  • Vishal Bhatnagar

    (Department of Computer Science and Engineering, Ambedkar Institute of Advanced Communication Technologies and Research, New Delhi, India)

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.

Suggested Citation

  • Neeti Sangwan & Vishal Bhatnagar, 2020. "Comprehensive Contemplation of Probabilistic Aspects in Intelligent Analytics," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 11(1), pages 116-141, January.
    • Handle: RePEc:igg:jssmet:v:11:y:2020:i:1:p:116-141
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSSMET.2020010108
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    Cited by:

    1. Akon O. Ekpezu & Ferdinand Katsriku & Winfred Yaokumah & Isaac Wiafe, 2022. "The Use of Machine Learning Algorithms in the Classification of Sound: A Systematic Review," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 13(1), pages 1-28, January.

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