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Improvisation of Experience of Indian Railways using Sentimental Analysis

by Anmol Rai Gupta, L. Shalini
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 11
Year of Publication: 2013
Authors: Anmol Rai Gupta, L. Shalini
10.5120/11128-6201

Anmol Rai Gupta, L. Shalini . Improvisation of Experience of Indian Railways using Sentimental Analysis. International Journal of Computer Applications. 66, 11 ( March 2013), 16-18. DOI=10.5120/11128-6201

@article{ 10.5120/11128-6201,
author = { Anmol Rai Gupta, L. Shalini },
title = { Improvisation of Experience of Indian Railways using Sentimental Analysis },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 11 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 16-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number11/11128-6201/ },
doi = { 10.5120/11128-6201 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:22:06.525535+05:30
%A Anmol Rai Gupta
%A L. Shalini
%T Improvisation of Experience of Indian Railways using Sentimental Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 11
%P 16-18
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Over the past decade Indian Railways is the biggest public sector enterprise in India. Market is becoming more users oriented these days and customers' feedbacks have taken a central place. Thus, in this paper sentimental analysis has been performed on the commuters' feedback by using the concepts of polarity dictionary and sentimental orientation calculation. Each sentence has been allotted with a score calculated by mappings from the polarity dictionary, with the scores varying within a fixed pre-defined range. Thus the score gives an insight into the feedbacks of the customers and hence, the experience of commuters and railway industry revenue generation can be improved by using this study.

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Index Terms

Computer Science
Information Sciences

Keywords

Indian Railways Sentimental analysis Polarity dictionary Sentimental Orientation Calculation Natural language processing

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