Research Area:  Machine Learning

Abstract:

The Intense growth of data over the internet and process extracting predominating details from it is a time-consuming task. A new application of making this task simplified is text-summarization. This paper presents the integration of Restricted Boltzmann Machine and Fuzzy Logic methods. Both of these processes have different ways of giving precision to a summary but together being part of the unsupervised world has surpassed their working alone to summarize the text. Integrated algorithm i.e. called FRBM (fuzzy Restricted Boltzmann Machine) provides enhanced depiction in the modeling of probability over visible and hidden units than the RBM.

Keywords:  

Author(s) Name:  Bharti Sharma, Minakshi Tomer, Kriti Kriti

Publisher name:  Taylor and Francis

DOI:  10.1080/09720510.2020.1808353

Volume Information:  

Paper Link:   https://www.tandfonline.com/doi/abs/10.1080/09720510.2020.1808353