Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891231443> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W2891231443 endingPage "438" @default.
- W2891231443 startingPage "434" @default.
- W2891231443 abstract "This paper reports on the use of ensemble learning to classify as either positive or negative the sentiment of Tweets. Tweets were chosen as Twitter is a popular tool and a public, human annotated dataset was made available as part of the SemEval 2013 competition. We report on a classification approach that contrasts single machine learning algorithms with a combination of algorithms in an ensemble learning approach. The single machine learning algorithms used were support vector machine (SVM) and Naive Bayes (NB), while the methods of ensemble learning include the arbiter tree and the combiner tree. Our system achieved an F-score using Tweets and SMS with the arbiter tree at 83.57% and 93.55%, respectively, which was better than base classifiers; meanwhile, the results from the combiner tree achieved lower scores than base classifiers." @default.
- W2891231443 created "2018-09-27" @default.
- W2891231443 creator A5041194620 @default.
- W2891231443 creator A5090165607 @default.
- W2891231443 date "2016-10-01" @default.
- W2891231443 modified "2023-10-06" @default.
- W2891231443 title "Using Arbiter and Combiner Tree to Classify Contexts of Data" @default.
- W2891231443 cites W1549467647 @default.
- W2891231443 cites W1563088657 @default.
- W2891231443 cites W1567125377 @default.
- W2891231443 cites W1924689489 @default.
- W2891231443 cites W1998257453 @default.
- W2891231443 cites W2008056655 @default.
- W2891231443 cites W2011273153 @default.
- W2891231443 cites W2017238344 @default.
- W2891231443 cites W2032558547 @default.
- W2891231443 cites W2034439306 @default.
- W2891231443 cites W2035265584 @default.
- W2891231443 cites W2068157365 @default.
- W2891231443 cites W2115000855 @default.
- W2891231443 cites W2128024628 @default.
- W2891231443 cites W2160660844 @default.
- W2891231443 cites W2172238468 @default.
- W2891231443 cites W2962730104 @default.
- W2891231443 doi "https://doi.org/10.7763/ijcte.2016.v8.1085" @default.
- W2891231443 hasPublicationYear "2016" @default.
- W2891231443 type Work @default.
- W2891231443 sameAs 2891231443 @default.
- W2891231443 citedByCount "2" @default.
- W2891231443 countsByYear W28912314432023 @default.
- W2891231443 crossrefType "journal-article" @default.
- W2891231443 hasAuthorship W2891231443A5041194620 @default.
- W2891231443 hasAuthorship W2891231443A5090165607 @default.
- W2891231443 hasBestOaLocation W28912314431 @default.
- W2891231443 hasConcept C113174947 @default.
- W2891231443 hasConcept C134306372 @default.
- W2891231443 hasConcept C154945302 @default.
- W2891231443 hasConcept C173608175 @default.
- W2891231443 hasConcept C2779971761 @default.
- W2891231443 hasConcept C33923547 @default.
- W2891231443 hasConcept C41008148 @default.
- W2891231443 hasConceptScore W2891231443C113174947 @default.
- W2891231443 hasConceptScore W2891231443C134306372 @default.
- W2891231443 hasConceptScore W2891231443C154945302 @default.
- W2891231443 hasConceptScore W2891231443C173608175 @default.
- W2891231443 hasConceptScore W2891231443C2779971761 @default.
- W2891231443 hasConceptScore W2891231443C33923547 @default.
- W2891231443 hasConceptScore W2891231443C41008148 @default.
- W2891231443 hasIssue "5" @default.
- W2891231443 hasLocation W28912314431 @default.
- W2891231443 hasLocation W28912314432 @default.
- W2891231443 hasOpenAccess W2891231443 @default.
- W2891231443 hasPrimaryLocation W28912314431 @default.
- W2891231443 hasRelatedWork W2044186451 @default.
- W2891231443 hasRelatedWork W2135481122 @default.
- W2891231443 hasRelatedWork W2355247546 @default.
- W2891231443 hasRelatedWork W2365333639 @default.
- W2891231443 hasRelatedWork W2365371251 @default.
- W2891231443 hasRelatedWork W2379488605 @default.
- W2891231443 hasRelatedWork W2748952813 @default.
- W2891231443 hasRelatedWork W2884038052 @default.
- W2891231443 hasRelatedWork W2891231443 @default.
- W2891231443 hasRelatedWork W2899084033 @default.
- W2891231443 hasVolume "8" @default.
- W2891231443 isParatext "false" @default.
- W2891231443 isRetracted "false" @default.
- W2891231443 magId "2891231443" @default.
- W2891231443 workType "article" @default.