Publication:
KUNLPLab: sentiment analysis on twitter data

Simple item page
dc.conference.dateAUG 23–24, 2014
dc.conference.locationDublin, Ireland
dc.conference.organizerAssociation for Computational Linguistics (ACL)
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.facultymemberNo
dc.contributor.kuauthorAssefa, Beakal Gizachew
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-11-09T22:50:37Z
dc.date.issued2014
dc.description.abstractThis paper presents the system submitted by KUNLPLab for SemEval-2014 Task9 - Subtask B: Message Polarity on Twitter data. Lexicon features and bag-of-words features are mainly used to represent the datasets. We trained a logistic regression classifier and got an accuracy of 6% increase from the baseline feature representation. The effect of pre-processing on the classifier’s accuracy is also discussed in this work.
dc.description.fulltextYes
dc.description.harvestedfromManual
dc.description.indexedbyScopus
dc.description.openaccessDiamond OA
dc.description.peerreviewstatusPeer-Reviewed
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.description.studentonlypublicationYes
dc.description.studentpublicationYes
dc.description.versionPublished Version
dc.identifier.WoSQuartileN/A
dc.identifier.doi10.3115/v1/s14-2067
dc.identifier.embargoNo
dc.identifier.filenameinventorynoIR08041
dc.identifier.isbn9781-9416-4324-2
dc.identifier.urihttps://hdl.handle.net/20.500.14288/6697
dc.identifier.urihttps://doi.org/10.3115/v1/s14-2067
dc.keywordsSemantics
dc.keywordsSentiment analysis
dc.keywordsBag of words
dc.keywordsFeature representation
dc.keywordsLogistic regression classifier
dc.keywordsPre-processing
dc.keywordsSentiment analysis
dc.keywordsSubtask
dc.keywordsSocial networking (online)
dc.language.isoeng
dc.publisherAssociation for Computational Linguistics (ACL)
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartof8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings
dc.relation.openaccessYes
dc.rightsOther
dc.subjectEngineering
dc.subjectComputer science
dc.subjectArtificial intelligence
dc.titleKUNLPLab: sentiment analysis on twitter data
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorAssefa, Beakal Gizachew
relation.isOrgUnitOfPublication3fc31c89-e803-4eb1-af6b-6258bc42c3d8
relation.isOrgUnitOfPublication.latestForDiscovery3fc31c89-e803-4eb1-af6b-6258bc42c3d8
relation.isParentOrgUnitOfPublication434c9663-2b11-4e66-9399-c863e2ebae43
relation.isParentOrgUnitOfPublication.latestForDiscovery434c9663-2b11-4e66-9399-c863e2ebae43

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
IR08041.pdf
Size:
215.51 KB
Format:
Adobe Portable Document Format
Download

Collections

Publications with Fulltext