@prefix epid: .
@prefix dc: .
@prefix geo: .
@prefix bibo: .
@prefix epx: .
@prefix owl: .
@prefix void: .
@prefix event: .
@prefix skos: .
@prefix xsd: .
@prefix cc: .
@prefix ep: .
@prefix foaf: .
@prefix rdf: .
@prefix rdfs: .
@prefix eprel: .
@prefix dct: .
<>
foaf:primaryTopic ;
rdfs:comment "The repository administrator has not yet configured an RDF license."^^xsd:string .
rdfs:label "turney-acl02-final.ps"^^xsd:string .
rdfs:label "preview.png"^^xsd:string .
rdfs:label "turney-acl02-final.pdf"^^xsd:string .
rdfs:label "indexcodes.txt"^^xsd:string .
dc:format "text/html";
dc:title "HTML Summary of #2321 \n\nThumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews\n\n";
foaf:primaryTopic .
dct:hasPart ;
ep:hasFile ;
eprel:hasVersion ;
eprel:hasVolatileVersion ;
eprel:haspreviewThumbnailVersion ;
rdf:type bibo:Document,
ep:Document;
rdfs:label "Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews (Postscript)"^^xsd:string .
dct:hasPart ;
ep:hasFile ;
eprel:isVersionOf ;
eprel:isVolatileVersionOf ;
eprel:ispreviewThumbnailVersionOf ;
rdf:type ep:Document;
rdfs:label "Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews (Image (PNG))"^^xsd:string .
dct:hasPart ;
ep:hasFile ;
eprel:hasIndexCodesVersion ;
eprel:hasVersion ,
;
eprel:hasVolatileVersion ,
;
eprel:haspreviewThumbnailVersion ;
rdf:type bibo:Document,
ep:Document;
rdfs:label "Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews (PDF)"^^xsd:string .
dct:hasPart ;
ep:hasFile ;
eprel:isIndexCodesVersionOf ;
eprel:isVersionOf ;
eprel:isVolatileVersionOf ;
rdf:type ep:Document;
rdfs:label "Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews (Indexer Terms)"^^xsd:string .
rdf:_1 .
bibo:abstract "This paper presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not recommended (thumbs down). The classification of a review is predicted by the average semantic orientation of the phrases in the review that contain adjectives or adverbs. A phrase has a positive semantic orientation when it has good associations (e.g., \"subtle nuances\") and a negative semantic orientation when it has bad associations (e.g., \"very cavalier\"). In this paper, the semantic orientation of a phrase is calculated as the mutual information between the given phrase and the word \"excellent\" minus the mutual information between the given phrase and the word \"poor\". A review is classified as recommended if the average semantic orientation of its phrases is positive. The algorithm achieves an average accuracy of 74% when evaluated on 410 reviews from Epinions, sampled from four different domains (reviews of automobiles, banks, movies, and travel destinations). The accuracy ranges from 84% for automobile reviews to 66% for movie reviews. \n\n"^^xsd:string;
bibo:authorList ;
bibo:status ,
;
dct:creator ;
dct:date "2002";
dct:isPartOf ;
dct:subject ,
,
,
;
dct:title "Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews"^^xsd:string;
ep:hasDocument ,
,
,
;
rdf:type bibo:Article,
ep:ConfpaperEPrint,
ep:EPrint;
rdfs:seeAlso .
rdf:type skos:Concept;
skos:prefLabel "Artificial Intelligence" .
rdf:type skos:Concept;
skos:prefLabel "Language" .
rdf:type skos:Concept;
skos:prefLabel "Machine Learning" .
rdf:type skos:Concept;
skos:prefLabel "Statistical Models" .
foaf:familyName "Turney"^^xsd:string;
foaf:givenName "Peter D."^^xsd:string;
foaf:name "Peter D. Turney"^^xsd:string;
rdf:type foaf:Person .