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  Published Paper Details:

  Paper Title

MACHINE LEARNING TECHNIQUES FOR TEXT MINING USING ONTOLOGY

  Authors

  Atishkumar M Shah,  Dr. Subhashchandra Desai,  Dr. Kinjal Adhvaryu

  Keywords

unstructured record; data organizing; data extraction; ontology

  Abstract


Extraction of information from the unstructured document depending on an ontology application describes domain of interest which is presented as a new way. To start with such ontology, we make rules to extract fix and context keywords from formless documents. For all unstructured document , constants and keywords are extracted and a recognizer is applied to organize fix values which are extracted as feature values of tuples in a database schema formed. To make approach general, all the cycle is fixed and just ontological portrayal is changed by various application area. In this paper, we are working on two different types of unstructured document: firstly as offline which is based on particular PDF document and secondly as online which is Web-based and our move toward attained recall scale in 80 % and 90 % range and correctness 98%.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2110329

  Paper ID - 212741

  Page Number(s) - c759-c765

  Pubished in - Volume 9 | Issue 10 | October 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Atishkumar M Shah,  Dr. Subhashchandra Desai,  Dr. Kinjal Adhvaryu,   "MACHINE LEARNING TECHNIQUES FOR TEXT MINING USING ONTOLOGY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 10, pp.c759-c765, October 2021, Available at :http://www.ijcrt.org/papers/IJCRT2110329.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: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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