Comprehensive Contemplation of Probabilistic Aspects in Intelligent Analytics

Comprehensive Contemplation of Probabilistic Aspects in Intelligent Analytics

Neeti Sangwan, Vishal Bhatnagar
DOI: 10.4018/IJSSMET.2020010108
OnDemand:
(Individual Articles)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

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.
Article Preview
Top

2. Literature Review

Huge amount of work has been done on text analytics with the usage of machine learning. The significance of using machine learning techniques was realized in the field of text analytics as it provides the better analysis of text by uncovering the hidden information. Deep learning became an integral part of many software applications and services. Scalability of the neural network with large data can be improved using deep learning.

Zhang et al. (2015) and Lai et al. (2015) provided the exploitation of deep learning based models for better text classification. Korde and Mahender (2012) discussed different algorithms used for text classification. Zhang and Wallace (2015) experimented for classification using various deep neural networks. Hughes et al. (2017), Islam and Zhang (2017) and Islam and Zhang (2017b) applied the deep networks for classification in healthcare.

Complete Article List

Search this Journal:
Reset
Volume 15: 1 Issue (2024)
Volume 14: 1 Issue (2023)
Volume 13: 6 Issues (2022): 2 Released, 4 Forthcoming
Volume 12: 6 Issues (2021)
Volume 11: 4 Issues (2020)
Volume 10: 4 Issues (2019)
Volume 9: 4 Issues (2018)
Volume 8: 4 Issues (2017)
Volume 7: 4 Issues (2016)
Volume 6: 4 Issues (2015)
Volume 5: 4 Issues (2014)
Volume 4: 4 Issues (2013)
Volume 3: 4 Issues (2012)
Volume 2: 4 Issues (2011)
Volume 1: 4 Issues (2010)
View Complete Journal Contents Listing