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  Published Paper Details:

  Authors

  Saiteja alubelli,  Dr. K. S. Deepthi,  Janni Ramdhar Thanmayi Sharon

  Keywords

newspaper, document extraction, term frequency, inverse document frequency

  Abstract


Summarization of text is one of most challenging task in the field of natural language processing. The need to be summarized from the large datasets which contains the knowledge discovery such as information extraction and retrieval. When the information is extracted it consists of specific domain knowledge data. So in this paper the data from English and Telugu newspapers is extracted, now compare the missing news and then summarize the bi-language data where implementation of sentence extraction and weightage strategy to mine the data form multiple documents is done.

  Cite this article

  Saiteja alubelli,  Dr. K. S. Deepthi,  Janni Ramdhar Thanmayi Sharon,   "MULTI-DOCUMENT BI-LINGUAL NEWS SUMMARIZATION ", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.6, Issue 1, Page No pp.494-499, March 2019, Available at : http://www.ijrar.org/IJRAR19H1224.pdf  

  IJRAR's Publication Details

  Unique Identification Number - IJRAR19H1224

  Paper ID - 200271

  Author type - Indian Author

  Page Number(s) - 494-499

  Pubished in - Volume 6 | Issue 1 | March 2019

  DOI (Digital Object Identifier) -   

  No Of Downloads - 1133

  Author Country - 532460, India, veeraghattam, veeraghattam, India, Science & Technology

  Publisher Name - IJPUBLICATION | IJRAR | www.ijrar.org | E-ISSN 2348-1269, P- ISSN 2349-5138

  E-ISSN 2348-1269, P- ISSN 2349-5138

  Published Paper PDF : - http://www.ijrar.org/papers/IJRAR19H1224

  Published Paper URL: : - http://ijrar.org/viewfull.php?&p_id=IJRAR19H1224

  Published Paper PDF Downlaod: - download.php?file=IJRAR19H1224

  Cite this article

  Saiteja alubelli,  Dr. K. S. Deepthi,  Janni Ramdhar Thanmayi Sharon,   "MULTI-DOCUMENT BI-LINGUAL NEWS SUMMARIZATION ", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.6, Issue 1, Page No pp.494-499, March 2019, Available at : http://www.ijrar.org/IJRAR19H1224.pdf

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E-ISSN 2348-1269,
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