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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
AN IMPROVISED METHOD FOR LIVE TWEET DATA SEGMENTATION AND ITS APPLICATION TO NAMED ENTITY RECOGNITION
Authors
Jayashri somnath jadhav, K.V.Reddy
Keywords
Twitter stream, named entity recognition, Global and Local context, Wikipedia, W3C, Stanford NLP, Tweet Segmentation.
Abstract
Twitter has become one of the most important channels of communication with its ability to provide the latest and latest information. Given the extensive use of Twitter as a source of information, touching an interesting tweet for users among a bunch of tweets is a challenge. A huge amount of tweets sent per day per hundred million users, information overload is inevitable. To extract the high-volume information from different tweets, Named Entity Recognition, methods on formal texts. However many applications in information retrieval and NLP ie .natural language processing suffers from the noisy and short nature of tweets. In this paper, we propose a framework which first of all collect the live tweet then Named Entity Recognition get performed on it by using Stanford NER also System Finds its Global and Local Presence and accordingly Segmentation get performed.
IJCRT's Publication Details
Unique Identification Number - IJCRT1892759
Paper ID - 189621
Page Number(s) - 523-528
Pubished in - Volume 6 | Issue 2 | APRIL 2018
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Jayashri somnath jadhav, K.V.Reddy, "AN IMPROVISED METHOD FOR LIVE TWEET DATA SEGMENTATION AND ITS APPLICATION TO NAMED ENTITY RECOGNITION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.523-528, APRIL 2018, Available at :http://www.ijcrt.org/papers/IJCRT1892759.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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