An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers

dc.contributor.author Husaini, Mus'ab
dc.contributor.author Koçyiğit, Ahmet
dc.contributor.author Tapucu, Dilek
dc.contributor.author Yanıkoğlu, Berrin
dc.contributor.author Saygın, Yücel
dc.coverage.doi 10.1007/978-3-642-33486-3_51
dc.date.accessioned 2018-02-15T13:26:10Z
dc.date.available 2018-02-15T13:26:10Z
dc.date.issued 2012
dc.description 2012 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2012; Bristol; United Kingdom; 24 September 2012 through 28 September 2012 en_US
dc.description.abstract In this demo paper, we present SARE, a modular and extendable semi-automatic system that 1) assists researchers in building gold-standard lexicons and evaluating their lexicon extraction algorithms; and 2) provides a general and extendable sentiment analysis environment to help researchers analyze the behavior and errors of a core sentiment analysis engine using a particular lexicon. en_US
dc.identifier.doi 10.1007/978-3-642-33486-3_51 en_US
dc.identifier.doi 10.1007/978-3-642-33486-3_51
dc.identifier.issn 0302-9743
dc.identifier.issn 1611-3349
dc.identifier.scopus 2-s2.0-84866876728
dc.identifier.uri http://doi.org/10.1007/978-3-642-33486-3_51
dc.identifier.uri https://hdl.handle.net/11147/6797
dc.language.iso en en_US
dc.publisher Springer Verlag en_US
dc.relation.ispartof Lecture Notes in Computer Science en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Behavioral research en_US
dc.subject Evaluation tool en_US
dc.subject Extraction algorithms en_US
dc.subject Learning systems en_US
dc.title An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.institutional Tapucu, Dilek
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C5
gdc.coar.access open access
gdc.coar.type text::conference output
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Computer Engineering en_US
gdc.description.endpage 807 en_US
gdc.description.issue PART 2 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 804 en_US
gdc.description.volume 7524 LNAI en_US
gdc.description.wosquality N/A
gdc.identifier.openalex W1512752098
gdc.index.type Scopus
gdc.oaire.accesstype BRONZE
gdc.oaire.diamondjournal false
gdc.oaire.impulse 5.0
gdc.oaire.influence 4.0371178E-9
gdc.oaire.isgreen true
gdc.oaire.keywords T Technology (General)
gdc.oaire.keywords QA075 Electronic computers. Computer science
gdc.oaire.keywords Learning systems
gdc.oaire.keywords Extraction algorithms
gdc.oaire.keywords QA076 Computer software
gdc.oaire.keywords Behavioral research
gdc.oaire.keywords Evaluation tool
gdc.oaire.popularity 2.6746678E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 01 natural sciences
gdc.oaire.sciencefields 0105 earth and related environmental sciences
gdc.openalex.collaboration National
gdc.openalex.fwci 1.88065146
gdc.openalex.normalizedpercentile 0.87
gdc.opencitations.count 5
gdc.plumx.crossrefcites 4
gdc.plumx.mendeley 17
gdc.plumx.scopuscites 4
gdc.scopus.citedcount 4
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