Matches in SemOpenAlex for { <https://semopenalex.org/work/W4300485713> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4300485713 endingPage "88" @default.
- W4300485713 startingPage "88" @default.
- W4300485713 abstract "In this paper, we present StEduCov, an annotated dataset for the analysis of stances toward online education during the COVID-19 pandemic. StEduCov consists of 16,572 tweets gathered over 15 months, from March 2020 to May 2021, using the Twitter API. The tweets were manually annotated into the classes agree, disagreeor neutral. We performed benchmarking on the dataset using state-of-the-art and traditional machine learning models. Specifically, we trained deep learning models—bidirectional encoder representations from transformers, long short-term memory, convolutional neural networks, attention-based biLSTM and Naive Bayes SVM—in addition to naive Bayes, logistic regression, support vector machines, decision trees, K-nearest neighbor and random forest. The average accuracy in the 10-fold cross-validation of these models ranged from 75% to 84.8% and from 52.6% to 68% for binary and multi-class stance classifications, respectively. Performances were affected by high vocabulary overlaps between classes and unreliable transfer learning using deep models pre-trained on general texts in relation to specific domains such as COVID-19 and distance education." @default.
- W4300485713 created "2022-10-03" @default.
- W4300485713 creator A5024523877 @default.
- W4300485713 creator A5029126771 @default.
- W4300485713 creator A5038669195 @default.
- W4300485713 creator A5034401507 @default.
- W4300485713 date "2022-08-22" @default.
- W4300485713 modified "2023-10-09" @default.
- W4300485713 title "StEduCov: An Explored and Benchmarked Dataset on Stance Detection in Tweets towards Online Education during COVID-19 Pandemic" @default.
- W4300485713 cites W1604329830 @default.
- W4300485713 cites W1967807490 @default.
- W4300485713 cites W2159396192 @default.
- W4300485713 cites W2162073574 @default.
- W4300485713 cites W2265846598 @default.
- W4300485713 cites W2460159515 @default.
- W4300485713 cites W2462365838 @default.
- W4300485713 cites W2612605908 @default.
- W4300485713 cites W2779564163 @default.
- W4300485713 cites W2994199588 @default.
- W4300485713 cites W3045807826 @default.
- W4300485713 cites W3093277491 @default.
- W4300485713 cites W3102743123 @default.
- W4300485713 cites W3167528419 @default.
- W4300485713 cites W3173991475 @default.
- W4300485713 cites W3200998383 @default.
- W4300485713 cites W4210392745 @default.
- W4300485713 cites W4212883601 @default.
- W4300485713 cites W642125458 @default.
- W4300485713 cites W786031425 @default.
- W4300485713 doi "https://doi.org/10.3390/bdcc6030088" @default.
- W4300485713 hasPublicationYear "2022" @default.
- W4300485713 type Work @default.
- W4300485713 citedByCount "1" @default.
- W4300485713 crossrefType "journal-article" @default.
- W4300485713 hasAuthorship W4300485713A5024523877 @default.
- W4300485713 hasAuthorship W4300485713A5029126771 @default.
- W4300485713 hasAuthorship W4300485713A5034401507 @default.
- W4300485713 hasAuthorship W4300485713A5038669195 @default.
- W4300485713 hasBestOaLocation W43004857131 @default.
- W4300485713 hasConcept C108583219 @default.
- W4300485713 hasConcept C119857082 @default.
- W4300485713 hasConcept C12267149 @default.
- W4300485713 hasConcept C142724271 @default.
- W4300485713 hasConcept C144133560 @default.
- W4300485713 hasConcept C151956035 @default.
- W4300485713 hasConcept C154945302 @default.
- W4300485713 hasConcept C162853370 @default.
- W4300485713 hasConcept C169258074 @default.
- W4300485713 hasConcept C204321447 @default.
- W4300485713 hasConcept C2779134260 @default.
- W4300485713 hasConcept C3008058167 @default.
- W4300485713 hasConcept C41008148 @default.
- W4300485713 hasConcept C52001869 @default.
- W4300485713 hasConcept C524204448 @default.
- W4300485713 hasConcept C71924100 @default.
- W4300485713 hasConcept C81363708 @default.
- W4300485713 hasConcept C86251818 @default.
- W4300485713 hasConceptScore W4300485713C108583219 @default.
- W4300485713 hasConceptScore W4300485713C119857082 @default.
- W4300485713 hasConceptScore W4300485713C12267149 @default.
- W4300485713 hasConceptScore W4300485713C142724271 @default.
- W4300485713 hasConceptScore W4300485713C144133560 @default.
- W4300485713 hasConceptScore W4300485713C151956035 @default.
- W4300485713 hasConceptScore W4300485713C154945302 @default.
- W4300485713 hasConceptScore W4300485713C162853370 @default.
- W4300485713 hasConceptScore W4300485713C169258074 @default.
- W4300485713 hasConceptScore W4300485713C204321447 @default.
- W4300485713 hasConceptScore W4300485713C2779134260 @default.
- W4300485713 hasConceptScore W4300485713C3008058167 @default.
- W4300485713 hasConceptScore W4300485713C41008148 @default.
- W4300485713 hasConceptScore W4300485713C52001869 @default.
- W4300485713 hasConceptScore W4300485713C524204448 @default.
- W4300485713 hasConceptScore W4300485713C71924100 @default.
- W4300485713 hasConceptScore W4300485713C81363708 @default.
- W4300485713 hasConceptScore W4300485713C86251818 @default.
- W4300485713 hasIssue "3" @default.
- W4300485713 hasLocation W43004857131 @default.
- W4300485713 hasLocation W43004857132 @default.
- W4300485713 hasOpenAccess W4300485713 @default.
- W4300485713 hasPrimaryLocation W43004857131 @default.
- W4300485713 hasRelatedWork W2985924212 @default.
- W4300485713 hasRelatedWork W2996933976 @default.
- W4300485713 hasRelatedWork W3004984807 @default.
- W4300485713 hasRelatedWork W3195168932 @default.
- W4300485713 hasRelatedWork W4223564025 @default.
- W4300485713 hasRelatedWork W4281616679 @default.
- W4300485713 hasRelatedWork W4281846282 @default.
- W4300485713 hasRelatedWork W4321636153 @default.
- W4300485713 hasRelatedWork W4377964522 @default.
- W4300485713 hasRelatedWork W4383535405 @default.
- W4300485713 hasVolume "6" @default.
- W4300485713 isParatext "false" @default.
- W4300485713 isRetracted "false" @default.
- W4300485713 workType "article" @default.