UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIRC006294


Registration ID:
184591

Page Number

1695-1697

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Title

NATURAL LANGUAGE PROCESSING

Authors

Abstract

Natural language refers to the language that humans use to communicate with each other. Natural language Processing (NLP) is the area of processing this human language and how computers can understand this language. NLP is a very active area of research. It is defined as Natural Language Processing is a theoretically motivated range of computational techniques for analyzing and representing naturally occurring texts at one or more levels of linguistic analysis for the purpose of achieving human-like language processing for a range of tasks or applications. In this paper various approaches of NLP, its applications and Challenges are discussed.

Key Words

Data Mining, Association Rule, Genetic Algorithm

Cite This Article

"NATURAL LANGUAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.1695-1697, July-2018, Available :http://www.jetir.org/papers/JETIRC006294.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

"NATURAL LANGUAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp1695-1697, July-2018, Available at : http://www.jetir.org/papers/JETIRC006294.pdf

Publication Details

Published Paper ID: JETIRC006294
Registration ID: 184591
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 1695-1697
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162


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