Matches in SemOpenAlex for { <https://semopenalex.org/work/W2016718871> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2016718871 abstract "The centroid-based classification has proved to be a simple and yet efficient method for text classification. However, the performance of centroid-based classifier depends heavily on the quantity of labeled training set. It is easy and cheap to collect enormous unlabeled data from digital resources, while it is difficult and costly to label these data for training classifiers. To address this problem, we propose a dynamic centroid text classification approach which learns from unlabeled texts to construct dynamic centroids. The main idea of the approach is to take the unlabeled texts with high classifying confidence into consideration to adjust the centroids dynamically. Experiments on two public corpora have indicated the effectiveness of our text classification approach in the case of spare labeled training set. KeywordsText classification﹒Dynamic centroid﹒Confidence﹒Unlabeled texts" @default.
- W2016718871 created "2016-06-24" @default.
- W2016718871 creator A5002059219 @default.
- W2016718871 creator A5029476181 @default.
- W2016718871 creator A5052377100 @default.
- W2016718871 date "2013-01-01" @default.
- W2016718871 modified "2023-09-22" @default.
- W2016718871 title "A Dynamic Centroid Text Classification Approach by Learning from Unlabeled Data" @default.
- W2016718871 cites W1584041440 @default.
- W2016718871 cites W2048679005 @default.
- W2016718871 cites W2071850624 @default.
- W2016718871 cites W2102294253 @default.
- W2016718871 cites W2118020653 @default.
- W2016718871 cites W2122922389 @default.
- W2016718871 cites W2139578439 @default.
- W2016718871 cites W2151191523 @default.
- W2016718871 cites W2161685536 @default.
- W2016718871 cites W3004708627 @default.
- W2016718871 doi "https://doi.org/10.2991/icmt-13.2013.174" @default.
- W2016718871 hasPublicationYear "2013" @default.
- W2016718871 type Work @default.
- W2016718871 sameAs 2016718871 @default.
- W2016718871 citedByCount "0" @default.
- W2016718871 crossrefType "proceedings-article" @default.
- W2016718871 hasAuthorship W2016718871A5002059219 @default.
- W2016718871 hasAuthorship W2016718871A5029476181 @default.
- W2016718871 hasAuthorship W2016718871A5052377100 @default.
- W2016718871 hasBestOaLocation W20167188711 @default.
- W2016718871 hasConcept C119857082 @default.
- W2016718871 hasConcept C124101348 @default.
- W2016718871 hasConcept C127413603 @default.
- W2016718871 hasConcept C146599234 @default.
- W2016718871 hasConcept C153180895 @default.
- W2016718871 hasConcept C154945302 @default.
- W2016718871 hasConcept C177264268 @default.
- W2016718871 hasConcept C194648553 @default.
- W2016718871 hasConcept C199360897 @default.
- W2016718871 hasConcept C2776145971 @default.
- W2016718871 hasConcept C41008148 @default.
- W2016718871 hasConcept C51632099 @default.
- W2016718871 hasConcept C78519656 @default.
- W2016718871 hasConcept C95623464 @default.
- W2016718871 hasConceptScore W2016718871C119857082 @default.
- W2016718871 hasConceptScore W2016718871C124101348 @default.
- W2016718871 hasConceptScore W2016718871C127413603 @default.
- W2016718871 hasConceptScore W2016718871C146599234 @default.
- W2016718871 hasConceptScore W2016718871C153180895 @default.
- W2016718871 hasConceptScore W2016718871C154945302 @default.
- W2016718871 hasConceptScore W2016718871C177264268 @default.
- W2016718871 hasConceptScore W2016718871C194648553 @default.
- W2016718871 hasConceptScore W2016718871C199360897 @default.
- W2016718871 hasConceptScore W2016718871C2776145971 @default.
- W2016718871 hasConceptScore W2016718871C41008148 @default.
- W2016718871 hasConceptScore W2016718871C51632099 @default.
- W2016718871 hasConceptScore W2016718871C78519656 @default.
- W2016718871 hasConceptScore W2016718871C95623464 @default.
- W2016718871 hasLocation W20167188711 @default.
- W2016718871 hasOpenAccess W2016718871 @default.
- W2016718871 hasPrimaryLocation W20167188711 @default.
- W2016718871 hasRelatedWork W128998206 @default.
- W2016718871 hasRelatedWork W1550347611 @default.
- W2016718871 hasRelatedWork W1582583141 @default.
- W2016718871 hasRelatedWork W2000796234 @default.
- W2016718871 hasRelatedWork W2017651100 @default.
- W2016718871 hasRelatedWork W2058558406 @default.
- W2016718871 hasRelatedWork W2067825924 @default.
- W2016718871 hasRelatedWork W2097089247 @default.
- W2016718871 hasRelatedWork W2109946528 @default.
- W2016718871 hasRelatedWork W2122922389 @default.
- W2016718871 hasRelatedWork W2135694506 @default.
- W2016718871 hasRelatedWork W2139578439 @default.
- W2016718871 hasRelatedWork W2169415597 @default.
- W2016718871 hasRelatedWork W2351750343 @default.
- W2016718871 hasRelatedWork W2414886108 @default.
- W2016718871 hasRelatedWork W2507203141 @default.
- W2016718871 hasRelatedWork W3177628004 @default.
- W2016718871 hasRelatedWork W368902686 @default.
- W2016718871 hasRelatedWork W1806212073 @default.
- W2016718871 hasRelatedWork W2728250586 @default.
- W2016718871 isParatext "false" @default.
- W2016718871 isRetracted "false" @default.
- W2016718871 magId "2016718871" @default.
- W2016718871 workType "article" @default.