UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 5
May-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2405227


Registration ID:
539665

Page Number

c234-c238

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Title

A descriptive analysis on Natural Language Processing models for Automating Customer Service

Abstract

Natural Language Processing has already given rise to technologies like translators, voice assistants and chatbots. After 2019 pandemic hit there has been a tremendous increase in support tickets across all industries, from travel to finance. Several NLP model break down voice and text data in ways that help the computer understand of what it is ingesting. This paper will present the role of NLP in automating the customer service assistance for businesses and several other related sectors. A brief study of different NLP working models has also been displayed as per their use cases. Methods to check ac-curacy of Natural Language Processing model are also discussed in the article.

Key Words

NLP, Artificial Intelligence, Customer Support, Smart Assistance

Cite This Article

"A descriptive analysis on Natural Language Processing models for Automating Customer Service ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.c234-c238, May-2024, Available :http://www.jetir.org/papers/JETIR2405227.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

"A descriptive analysis on Natural Language Processing models for Automating Customer Service ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppc234-c238, May-2024, Available at : http://www.jetir.org/papers/JETIR2405227.pdf

Publication Details

Published Paper ID: JETIR2405227
Registration ID: 539665
Published In: Volume 11 | Issue 5 | Year May-2024
DOI (Digital Object Identifier):
Page No: c234-c238
Country: Bhojpur, Bihar, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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