Microblog sentiment analysis for rating TV shows

Simple item page
dc.contributor.advisorMostakim, Moin
dc.contributor.authorAbdullah, Ashik
dc.date.accessioned2017-05-30T06:09:26Z
dc.date.available2017-05-30T06:09:26Z
dc.date.issued4/18/2017
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 48-51).
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
dc.description.abstractSentiment analysis is being used on many fronts to extract public sentiment. It can collect data automatically from micro blogging sites,such as Twitter. This user generated data can be used for various application. For example we can make product review, predict future events such as election results etc. For a TV show to gain market and to quantify its success,public opinion can be extracted to find the popularity of a particular TV show. People nowadays are writing on micro blogging sites about various TV shows they are watching.
dc.identifier.otherID 15141008
dc.identifier.otherhttps://dspace.bracu.ac.bd/server/api/core/items/a3037cfd-2496-44b5-add2-4e2de38b56c1
dc.identifier.urihttp://hdl.handle.net/10361/8205
dc.language.isoen
dc.publisherBRAC University
dc.sourceBRAC University Institutional Repository
dc.subjectMicroblog sentiment
dc.subjectRating TV
dc.titleMicroblog sentiment analysis for rating TV shows
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
15141008_CSE.pdf
Size:
2.52 MB
Format:
Adobe Portable Document Format
Download

Collections

Thesis (Bachelor of Science in Computer Science and Engineering)