UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 9 | Issue 1 | January 2022

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRFE06013


Registration ID:
316971

Page Number

67-72

Share This Article


Jetir RMS

Title

Issue Ticketing System Based on Machine Learning

Abstract

Ticketing systems have gained significance and constitute a critical feature as businesses strive for superior customer experience and satisfaction in terms of business viability. Various software businesses have the development of very effective software solutions for problem tracking, several sub-processes and duties inside ticketing systems are still carried out manually. These were done by hand. Tasks, especially in large companies, are bottlenecks. They lead to a decrease in productivity and an increase in reaction time. Machine learning advances may be linked with existing issue tracking and ticketing systems on the market in a unique way to provide maximum operational efficiency in large-scale enterprises' Client Service and Support (CSS) departments that deal with customer reports. This study provides a holistic approach to customer service by addressing three apparently unrelated bottlenecks in the ticketing system: spam detection, ticket assignment, and sentiment analysis.

Key Words

Issue Ticketing System Based on Machine Learning

Cite This Article

"Issue Ticketing System Based on Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.67-72, February-2019, Available :http://www.jetir.org/papers/JETIRFE06013.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

"Issue Ticketing System Based on Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp67-72, February-2019, Available at : http://www.jetir.org/papers/JETIRFE06013.pdf

Publication Details

Published Paper ID: JETIRFE06013
Registration ID: 316971
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 67-72
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

00036

Print This Page

Current Call For Paper

Jetir RMS