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A Graph Based Approach for Efficient Document Similarity Detection


G. Padmaja, M. Sarada
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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.

G. Padmaja, M. Sarada

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

Publication Details

Published in : Volume 4 | Issue 4 | March-April - 2018
Date of Publication Print ISSN Online ISSN
2018-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
IJSRSET184497   Technoscience Academy

Cite This Article

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 4, pp., March-April-2018.
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