Text Analysis with Python: A Research Oriented Guide

Author(s): ​Mamta Mittal, Gopi Battineni, ​Bhimavarapu Usharani and Lalit Mohan Goyal

DOI: 10.2174/9789815049602122010008

Fuzzy Logic in Text Mining Using Python

Pp: 159-190 (32)

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Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

This chapter introduces about fuzzy logic, its membership functions, and rules followed by various text mining concepts using the fuzzy logic using python. Different open-source libraries for fuzzy logic, preprocessing concepts in fuzzy logic text mining, different feature extraction techniques, fuzzy clustering concepts, classification in fuzzy text mining, fuzzy association rule mining concepts, and visualization in fuzzy text mining are presented.

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