UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 5 Issue 1
January-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1801138


Registration ID:
180106

Page Number

717-719

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Title

AN ANALYTICAL STUDY ON NATURAL LANGUAGE PROCESSING

Abstract

Natural Language Processing is an important and innovative research field in database system and intellectualized GIS. It is an interesting,creative and difficult domain for developing and evaluating representation and reasoning theories.The interpretation of Natural Language (English) database questions formulated by users in database queries is an major issue in the field of Artificial intelligence(AI). This research paper aims at giving an overview in this area focusing and evaluating the current status and visualizing future trends of NLP.

Key Words

Natural language Processing(NLP), NQML, NLP Aspects

Cite This Article

"AN ANALYTICAL STUDY ON NATURAL LANGUAGE PROCESSING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 1, page no.717-719, January-2018, Available :http://www.jetir.org/papers/JETIR1801138.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AN ANALYTICAL STUDY ON NATURAL LANGUAGE PROCESSING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp717-719, January-2018, Available at : http://www.jetir.org/papers/JETIR1801138.pdf

Publication Details

Published Paper ID: JETIR1801138
Registration ID: 180106
Published In: Volume 5 | Issue 1 | Year January-2018
DOI (Digital Object Identifier):
Page No: 717-719
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR1801138
Published Paper PDF: https://www.jetir.org/papers/JETIR1801138

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