Context-Based Semantic Similarity and Document Retrieval

Authors

  • Tanmay Joshi  Department of Computer Engineering, Pune Institute of Computer Technology, Pune, Maharashtra, India
  • Prof. A. G. Phakatkar  Department of Computer Engineering, Pune Institute of Computer Technology, Pune, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT183896

Keywords:

Semantic Web, Ontology/ Taxonomy, Natural Language Processing

Abstract

Text based methods are extensively used in information retrieval on web. There are many different ways in which a statement can be expressed by using various words conveying the same meaning. Also, a single word can mean a lot of different things in various contexts. It is a challenging task to make the system understand what exactly the word or statement means and in which context. Hence, it is an important task to find out the context of the words so as to effectively understand what the user intends to mean which in turn can be used in a variety of NLP and text processing applications. A method is proposed in order to find out the similarity between two words and use the results in order to retrieve documents.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-12-30

Issue

Volume 3, Issue 8, November-December-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Tanmay Joshi, Prof. A. G. Phakatkar, " Context-Based Semantic Similarity and Document Retrieval , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 8, pp.398-402, November-December-2018. Available at doi : https://doi.org/10.32628/CSEIT183896