A Graph Based Approach for Efficient Document Similarity Detection

Authors

  • G. Padmaja  PG Scholar, Department of MCA, St.Ann's College Of Engineering and Technology, Chirala, Andhra Pradesh, India
  • M. Sarada  Assistant professor, Department of MCA, St.Ann's College of Engineering and Technology, Chirala, Andhra Pradesh, India

Keywords:

Commonsense Knowledge Representation and Reasoning, Natural Language Processing, Semantic Similarity

Abstract

Commonsense knowledge representation and thinking bolster a wide assortment of potential applications in fields, for example, record auto-order, Web seek improvement, theme gisting, social process demonstrating, and idea level conclusion and assessment examination. Answers for these issues, notwithstanding, request vigorous information bases fit for supporting adaptable, nuanced thinking. Populating such information bases is profoundly tedious, making it important to create procedures for deconstructing regular dialect writings into conventional ideas. In this work, we propose an approach for viable multi-word realistic articulation extraction from unlimited English content, notwithstanding a semantic likeness discovery strategy permitting extra matches to be found for particular ideas not officially show in knowledge bases.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-04-30

Issue

Volume 4, Issue 7, March-April-2018

Section

Research Articles

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

How to Cite

[1]
G. Padmaja, M. Sarada, " A Graph Based Approach for Efficient Document Similarity Detection, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 7, pp.65-69, March-April-2018.