Matches in SemOpenAlex for { <https://semopenalex.org/work/W2561446306> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2561446306 abstract "Mutilabel text classification is task to categorize a text into one or more categories. Like other supervised learning, performance of multilabel classification is limited when there are small labeled data and it leads to the difficulty of capturing semantic relationship. The previous research of multilabel classification for Indonesian news article focused on implementing multilabel classification using lexical feature that employed bag of words and TF-IDF term weighting, and there is no work yet that uses semantic features. The purpose of this paper is to present an implementation of multilabel classification using semantic feature based on Word2vec. Word2vec is an unsupervised task that is capable of utilizing unlabeled data to convert a word into its vector representation that can also find the semantic relationship between words by counting their distance. The experiment shows that the result using this semantic feature improves the previous result that used traditional bag of words and TF-IDF method. It escalates the testing F-measure value from 76.73% to 80.17%." @default.
- W2561446306 created "2017-01-06" @default.
- W2561446306 creator A5025234858 @default.
- W2561446306 creator A5031833654 @default.
- W2561446306 date "2016-08-01" @default.
- W2561446306 modified "2023-09-27" @default.
- W2561446306 title "Word2vec semantic representation in multilabel classification for Indonesian news article" @default.
- W2561446306 cites W1560851690 @default.
- W2561446306 cites W2083606554 @default.
- W2561446306 cites W2097089247 @default.
- W2561446306 cites W2105464441 @default.
- W2561446306 cites W2121434705 @default.
- W2561446306 cites W2133990480 @default.
- W2561446306 cites W2153635508 @default.
- W2561446306 cites W2333269343 @default.
- W2561446306 doi "https://doi.org/10.1109/icaicta.2016.7803115" @default.
- W2561446306 hasPublicationYear "2016" @default.
- W2561446306 type Work @default.
- W2561446306 sameAs 2561446306 @default.
- W2561446306 citedByCount "12" @default.
- W2561446306 countsByYear W25614463062017 @default.
- W2561446306 countsByYear W25614463062018 @default.
- W2561446306 countsByYear W25614463062019 @default.
- W2561446306 countsByYear W25614463062020 @default.
- W2561446306 countsByYear W25614463062023 @default.
- W2561446306 crossrefType "proceedings-article" @default.
- W2561446306 hasAuthorship W2561446306A5025234858 @default.
- W2561446306 hasAuthorship W2561446306A5031833654 @default.
- W2561446306 hasConcept C126838900 @default.
- W2561446306 hasConcept C13672336 @default.
- W2561446306 hasConcept C138885662 @default.
- W2561446306 hasConcept C153180895 @default.
- W2561446306 hasConcept C154945302 @default.
- W2561446306 hasConcept C162324750 @default.
- W2561446306 hasConcept C183115368 @default.
- W2561446306 hasConcept C187736073 @default.
- W2561446306 hasConcept C204321447 @default.
- W2561446306 hasConcept C23123220 @default.
- W2561446306 hasConcept C2524010 @default.
- W2561446306 hasConcept C2776401178 @default.
- W2561446306 hasConcept C2776461190 @default.
- W2561446306 hasConcept C2780451532 @default.
- W2561446306 hasConcept C2986744138 @default.
- W2561446306 hasConcept C33923547 @default.
- W2561446306 hasConcept C41008148 @default.
- W2561446306 hasConcept C41608201 @default.
- W2561446306 hasConcept C41895202 @default.
- W2561446306 hasConcept C71924100 @default.
- W2561446306 hasConcept C90805587 @default.
- W2561446306 hasConcept C94124525 @default.
- W2561446306 hasConceptScore W2561446306C126838900 @default.
- W2561446306 hasConceptScore W2561446306C13672336 @default.
- W2561446306 hasConceptScore W2561446306C138885662 @default.
- W2561446306 hasConceptScore W2561446306C153180895 @default.
- W2561446306 hasConceptScore W2561446306C154945302 @default.
- W2561446306 hasConceptScore W2561446306C162324750 @default.
- W2561446306 hasConceptScore W2561446306C183115368 @default.
- W2561446306 hasConceptScore W2561446306C187736073 @default.
- W2561446306 hasConceptScore W2561446306C204321447 @default.
- W2561446306 hasConceptScore W2561446306C23123220 @default.
- W2561446306 hasConceptScore W2561446306C2524010 @default.
- W2561446306 hasConceptScore W2561446306C2776401178 @default.
- W2561446306 hasConceptScore W2561446306C2776461190 @default.
- W2561446306 hasConceptScore W2561446306C2780451532 @default.
- W2561446306 hasConceptScore W2561446306C2986744138 @default.
- W2561446306 hasConceptScore W2561446306C33923547 @default.
- W2561446306 hasConceptScore W2561446306C41008148 @default.
- W2561446306 hasConceptScore W2561446306C41608201 @default.
- W2561446306 hasConceptScore W2561446306C41895202 @default.
- W2561446306 hasConceptScore W2561446306C71924100 @default.
- W2561446306 hasConceptScore W2561446306C90805587 @default.
- W2561446306 hasConceptScore W2561446306C94124525 @default.
- W2561446306 hasLocation W25614463061 @default.
- W2561446306 hasOpenAccess W2561446306 @default.
- W2561446306 hasPrimaryLocation W25614463061 @default.
- W2561446306 hasRelatedWork W1563079527 @default.
- W2561446306 hasRelatedWork W1967203824 @default.
- W2561446306 hasRelatedWork W2039590859 @default.
- W2561446306 hasRelatedWork W2040740170 @default.
- W2561446306 hasRelatedWork W2120529071 @default.
- W2561446306 hasRelatedWork W2335253006 @default.
- W2561446306 hasRelatedWork W2355149094 @default.
- W2561446306 hasRelatedWork W2369517460 @default.
- W2561446306 hasRelatedWork W2379493052 @default.
- W2561446306 hasRelatedWork W2384103485 @default.
- W2561446306 isParatext "false" @default.
- W2561446306 isRetracted "false" @default.
- W2561446306 magId "2561446306" @default.
- W2561446306 workType "article" @default.