Matches in SemOpenAlex for { <https://semopenalex.org/work/W2914623797> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2914623797 abstract "Singlish (or Singapore Colloquial English) is markedly distinct from Standard English due to extensive influence from other languages in Singapore. There is thus a need to construct Singlish-specific resources and tools to improve the sentiment analysis performance of online texts in Singlish. This paper leverages sentic computing techniques to develop Singlish SenticNet, a concept-level resource for sentiment analysis that provides the semantics and sentics associated with 10,000 words and multi-word expressions in Singlish. It is semi-automatically constructed by applying graph-mining and multi-dimensional scaling techniques on the affective commonsense knowledge collected from different sources. The knowledge is represented redundantly at three levels (semantic network, matrix, and vector space), each useful for a certain reasoning. A preliminary evaluation revealed a higher accuracy for Singlish SenticNet than SenticNet in the polarity assessment of Singlish tweets." @default.
- W2914623797 created "2019-02-21" @default.
- W2914623797 creator A5017135546 @default.
- W2914623797 creator A5033376109 @default.
- W2914623797 creator A5062581899 @default.
- W2914623797 creator A5074934997 @default.
- W2914623797 date "2018-11-01" @default.
- W2914623797 modified "2023-09-27" @default.
- W2914623797 title "Singlish SenticNet: A Concept-Based Sentiment Resource for Singapore English" @default.
- W2914623797 cites W13682356 @default.
- W2914623797 cites W1514274094 @default.
- W2914623797 cites W1525049886 @default.
- W2914623797 cites W1533621545 @default.
- W2914623797 cites W1618595639 @default.
- W2914623797 cites W1971405013 @default.
- W2914623797 cites W2016089260 @default.
- W2914623797 cites W2019109450 @default.
- W2914623797 cites W2059724699 @default.
- W2914623797 cites W2059975159 @default.
- W2914623797 cites W2085567745 @default.
- W2914623797 cites W2091084672 @default.
- W2914623797 cites W2134297857 @default.
- W2914623797 cites W2140072035 @default.
- W2914623797 cites W2161554763 @default.
- W2914623797 cites W2170436435 @default.
- W2914623797 cites W2306941105 @default.
- W2914623797 cites W2343676460 @default.
- W2914623797 cites W2396888156 @default.
- W2914623797 cites W2405612853 @default.
- W2914623797 cites W2481359644 @default.
- W2914623797 cites W2493920898 @default.
- W2914623797 cites W2500392116 @default.
- W2914623797 cites W2510916058 @default.
- W2914623797 cites W2584561145 @default.
- W2914623797 cites W2599743206 @default.
- W2914623797 cites W2724593770 @default.
- W2914623797 cites W2734205292 @default.
- W2914623797 cites W2739826982 @default.
- W2914623797 cites W2742947407 @default.
- W2914623797 cites W2745862583 @default.
- W2914623797 cites W2749564305 @default.
- W2914623797 cites W2765369538 @default.
- W2914623797 cites W2766718178 @default.
- W2914623797 cites W2767058267 @default.
- W2914623797 cites W2767849480 @default.
- W2914623797 cites W2771833219 @default.
- W2914623797 cites W2780698117 @default.
- W2914623797 cites W2786411768 @default.
- W2914623797 cites W2788810909 @default.
- W2914623797 cites W2788967885 @default.
- W2914623797 cites W2790250716 @default.
- W2914623797 cites W2792593939 @default.
- W2914623797 cites W2805662932 @default.
- W2914623797 cites W2887856105 @default.
- W2914623797 cites W2963520511 @default.
- W2914623797 cites W2963710346 @default.
- W2914623797 cites W94800547 @default.
- W2914623797 doi "https://doi.org/10.1109/ssci.2018.8628796" @default.
- W2914623797 hasPublicationYear "2018" @default.
- W2914623797 type Work @default.
- W2914623797 sameAs 2914623797 @default.
- W2914623797 citedByCount "5" @default.
- W2914623797 countsByYear W29146237972020 @default.
- W2914623797 countsByYear W29146237972021 @default.
- W2914623797 countsByYear W29146237972022 @default.
- W2914623797 crossrefType "proceedings-article" @default.
- W2914623797 hasAuthorship W2914623797A5017135546 @default.
- W2914623797 hasAuthorship W2914623797A5033376109 @default.
- W2914623797 hasAuthorship W2914623797A5062581899 @default.
- W2914623797 hasAuthorship W2914623797A5074934997 @default.
- W2914623797 hasConcept C154945302 @default.
- W2914623797 hasConcept C184337299 @default.
- W2914623797 hasConcept C199360897 @default.
- W2914623797 hasConcept C204321447 @default.
- W2914623797 hasConcept C41008148 @default.
- W2914623797 hasConceptScore W2914623797C154945302 @default.
- W2914623797 hasConceptScore W2914623797C184337299 @default.
- W2914623797 hasConceptScore W2914623797C199360897 @default.
- W2914623797 hasConceptScore W2914623797C204321447 @default.
- W2914623797 hasConceptScore W2914623797C41008148 @default.
- W2914623797 hasLocation W29146237971 @default.
- W2914623797 hasOpenAccess W2914623797 @default.
- W2914623797 hasPrimaryLocation W29146237971 @default.
- W2914623797 hasRelatedWork W1536141633 @default.
- W2914623797 hasRelatedWork W1541271503 @default.
- W2914623797 hasRelatedWork W1603678606 @default.
- W2914623797 hasRelatedWork W1608120214 @default.
- W2914623797 hasRelatedWork W1766493041 @default.
- W2914623797 hasRelatedWork W1930331324 @default.
- W2914623797 hasRelatedWork W2058157440 @default.
- W2914623797 hasRelatedWork W2406348363 @default.
- W2914623797 hasRelatedWork W2500581104 @default.
- W2914623797 hasRelatedWork W3107474891 @default.
- W2914623797 isParatext "false" @default.
- W2914623797 isRetracted "false" @default.
- W2914623797 magId "2914623797" @default.
- W2914623797 workType "article" @default.