"A Review on String-Based Text Similarity Techniques in Computational Analysis "

Authors

  • Navjot Kaur

Keywords:

Text Similarity, String-Based Similarity, Character-Based Similarity, Term-based Similarity

Abstract

Text similarity between words, sentences, paragraphs or documents has a great significance in all the application of Natural Language Processing (NLP) like information retrieval, word sense disambiguation, machine translation, text summarization etc. In this paper researcher have presented the survey of various string based methods used to find the text similarity. All the methods come under the two broad approaches which are character-based and term-based. These days measuring the text similarity between words, lines or documents plays important role for researches in the fields related to text such as plagiarism detection, machine translation, information retrieval etc.

DOI: https://doi.org/10.17762/ijisae.v12i23s.7629

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Web link accessed on16 October 2021:

https://www.geeksforgeeks.org/jaro-and-jaro-winkler-similarity/

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Published

31.12.2024

How to Cite

Navjot Kaur. (2024). "A Review on String-Based Text Similarity Techniques in Computational Analysis ". International Journal of Intelligent Systems and Applications in Engineering, 12(23s), 3138 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7629

Issue

Vol. 12 No. 23s (2024)

Section

Research Article

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