Text Clustering in Python
- Authors: Mamta Mittal1, Gopi Battineni2, Bhimavarapu Usharani3, Lalit Mohan Goyal4
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View Affiliations Hide Affiliations1 Delhi Skill & Entrepreneurship University,New Delhi, India 2 University of Camerino,Camerino, Italy 3 Department of CSE,Koneru Lakshmaiah EducationFoundation at Vaddeswaram,Andhra Pradesh, India 4 Department of Computer Engineering,J.C. Bose University of Science & Technology,YMCA Faridabad (Hr.), India
- Source: Text Analysis with Python: A Research-Oriented Guide , pp 121-158
- Publication Date: August 2022
- Language: English
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In this chapter, we learn about clustering and how document and text clustering can be performed. This chapter explains the real-time applications of text clustering and the differences between soft and hard clustering types. The clustering algorithms, including KNN, hierarchical and Fuzzy clustering, were used . Fuzzy clustering or soft clustering types can add better value performance-wise than the other two clustering algorithms. Besides, we also presented how to conduct text clustering in python using unsupervised machine learning techniques. To explain this in detail, the IRIS dataset is considered famous in UCI Machine learning Repository and well presented with python script.
Hardbound ISBN:
9789815049619
Ebook ISBN:
9789815049602
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