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  Published Paper Details:

  Paper Title

A Summary Of Semantic Similarity Measures Between Words

  Authors

  Pooja Tiwari

  Keywords

Semantic similarity, natural language processing, knowledge-based methods, corpus-based methods, hybrid methods.

  Abstract


Semantic similarity measures play a crucial role in various natural language processing tasks, aiding in tasks such as information retrieval, text classification, and semantic search. This paper provides a comprehensive review of semantic similarity measures, examining their methodologies, applications, and performance. We discuss different approaches to measuring semantic similarity, including knowledge-based, corpus-based, and hybrid methods, highlighting their strengths, limitations, and comparative evaluations. Additionally, we explore the challenges and future directions in semantic similarity research, aiming to provide insights for researchers and practitioners in the field of natural language processing.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2405097

  Paper ID - 259270

  Page Number(s) - a884-a891

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Pooja Tiwari,   "A Summary Of Semantic Similarity Measures Between Words", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.a884-a891, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT2405097.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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