A set theory based similarity measure for text clustering and classification

A set theory based similarity measure for text clustering and classification

Abstract Similarity measures have long been utilized in information retrieval and machine learning domains for multi-purposes including text retrieval, text clustering, text summarization, plagiarism detection, and several other text-processing applications. However, the problem with these measures...

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Bibliographic Details
Main Authors: Ali A. Amer, Hassan I. Abdalla
Format: Article
Language:English
Published: SpringerOpen 2020-09-01
Series:Journal of Big Data
Subjects:
Information retrieval
Text retrieval
Text classification
Similarity measures
Empirical study
Online Access:http://link.springer.com/article/10.1186/s40537-020-00344-3

Internet

http://link.springer.com/article/10.1186/s40537-020-00344-3

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