The Sellout: Readers Sentiment Analysis of 2016 Man Booker Prize Winner

Simple item page
dc.contributor.authorSingson, N Kadiresan Tripti Gogoi Mangkhollen
dc.date.accessioned2017-08-08T08:38:34Z
dc.date.available2017-08-08T08:38:34Z
dc.date.issued2017-08
dc.description.abstractSentiment analysis also sometimes term as opinion mining refers to the use of natural language processing, text  analysis, computational  linguistics,  and biometrics to  systematically identify,  extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to the voice of the customer materials such as reviews and survey responses, online and social media, and materials for healthcare applications that range from marketing to customer service to clinical medicine. This paper mainly focuses on the sentiment analysis of the 2016 Man Booker prize winner book “The Sellout” in Goodreads website. An opinion is classified as a positive or negative sentiment, view, attitude, emotion, or appraisal about an entity or an aspect of the entity from an opinion holder. This is a relevant problem in today’s world as the amount of user generated text on the web is increasing and sentiment analysis can be used to detect the mood of users on a forum. The paper examines the positive and negative sentiment polarity of the readers before and after winning the prize, the most occurred word in the reviews, word frequency and workload.en_US
dc.identifier.isbn978-93-81232-07-1
dc.identifier.urihttps://ir.inflibnet.ac.in/handle/1944/2115
dc.language.isoenen_US
dc.publisherINFLIBNET Centreen_US
dc.subjectAnalysisen_US
dc.subjectGoodreadsen_US
dc.subjectMan Bookeren_US
dc.subjectR Languageen_US
dc.subjectReviewsen_US
dc.subjectSellouten_US
dc.subjectSentimenten_US
dc.titleThe Sellout: Readers Sentiment Analysis of 2016 Man Booker Prize Winneren_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
25.pdf
Size:
362.15 KB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
P24_The Sellout.pptx
Size:
378.98 KB
Format:
Microsoft Powerpoint XML
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

CALIBER 2017:Chennai