Matches in SemOpenAlex for { <https://semopenalex.org/work/W188152733> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W188152733 endingPage "84" @default.
- W188152733 startingPage "73" @default.
- W188152733 abstract "AbstractThis paper presents a method to predicate news reader emotions. News headlines supply core information of articles, thus they can serve as key information for reader emotion predication. However, headlines are always short which leads to obvious data sparseness if only lexical forms are used. To address this problem, words in their lexical forms in a headline are transferred to their concepts and concept sequence features of words in headlines based on a semantic knowledge base, namely HowNet for Chinese. These features are expected to represent the major elements which can evoke reader’s emotional reactions. These transferred concepts are used with lexical features in headlines for predicating the reader’s emotion. Evaluations on dataset of Sina Social News with user emotion votes show that the proposed approach which do not use any news content, achieves a comparable performance to Bag-Of-Word model using both the headlines and the news contents, making our method more efficient in reader emotion prediction.KeywordsEmotion PredictionConcept FeatureConcept Sequence FeatureHowNet" @default.
- W188152733 created "2016-06-24" @default.
- W188152733 creator A5000732066 @default.
- W188152733 creator A5009169722 @default.
- W188152733 creator A5009488253 @default.
- W188152733 creator A5016391596 @default.
- W188152733 creator A5018149714 @default.
- W188152733 creator A5020766468 @default.
- W188152733 creator A5048826252 @default.
- W188152733 creator A5069054353 @default.
- W188152733 creator A5081356819 @default.
- W188152733 creator A5088116210 @default.
- W188152733 date "2014-01-01" @default.
- W188152733 modified "2023-10-18" @default.
- W188152733 title "Reader Emotion Prediction Using Concept and Concept Sequence Features in News Headlines" @default.
- W188152733 cites W1953606363 @default.
- W188152733 cites W2045631398 @default.
- W188152733 cites W2052684427 @default.
- W188152733 cites W2053463056 @default.
- W188152733 cites W2103227703 @default.
- W188152733 cites W2104090402 @default.
- W188152733 cites W2105468141 @default.
- W188152733 cites W2110162085 @default.
- W188152733 cites W2126179176 @default.
- W188152733 cites W2165008816 @default.
- W188152733 doi "https://doi.org/10.1007/978-3-642-54903-8_7" @default.
- W188152733 hasPublicationYear "2014" @default.
- W188152733 type Work @default.
- W188152733 sameAs 188152733 @default.
- W188152733 citedByCount "3" @default.
- W188152733 countsByYear W1881527332014 @default.
- W188152733 countsByYear W1881527332017 @default.
- W188152733 countsByYear W1881527332019 @default.
- W188152733 crossrefType "book-chapter" @default.
- W188152733 hasAuthorship W188152733A5000732066 @default.
- W188152733 hasAuthorship W188152733A5009169722 @default.
- W188152733 hasAuthorship W188152733A5009488253 @default.
- W188152733 hasAuthorship W188152733A5016391596 @default.
- W188152733 hasAuthorship W188152733A5018149714 @default.
- W188152733 hasAuthorship W188152733A5020766468 @default.
- W188152733 hasAuthorship W188152733A5048826252 @default.
- W188152733 hasAuthorship W188152733A5069054353 @default.
- W188152733 hasAuthorship W188152733A5081356819 @default.
- W188152733 hasAuthorship W188152733A5088116210 @default.
- W188152733 hasConcept C138885662 @default.
- W188152733 hasConcept C140146324 @default.
- W188152733 hasConcept C154945302 @default.
- W188152733 hasConcept C199360897 @default.
- W188152733 hasConcept C204321447 @default.
- W188152733 hasConcept C23123220 @default.
- W188152733 hasConcept C26517878 @default.
- W188152733 hasConcept C2778112365 @default.
- W188152733 hasConcept C2778689934 @default.
- W188152733 hasConcept C38652104 @default.
- W188152733 hasConcept C41008148 @default.
- W188152733 hasConcept C41895202 @default.
- W188152733 hasConcept C54355233 @default.
- W188152733 hasConcept C86803240 @default.
- W188152733 hasConcept C90805587 @default.
- W188152733 hasConceptScore W188152733C138885662 @default.
- W188152733 hasConceptScore W188152733C140146324 @default.
- W188152733 hasConceptScore W188152733C154945302 @default.
- W188152733 hasConceptScore W188152733C199360897 @default.
- W188152733 hasConceptScore W188152733C204321447 @default.
- W188152733 hasConceptScore W188152733C23123220 @default.
- W188152733 hasConceptScore W188152733C26517878 @default.
- W188152733 hasConceptScore W188152733C2778112365 @default.
- W188152733 hasConceptScore W188152733C2778689934 @default.
- W188152733 hasConceptScore W188152733C38652104 @default.
- W188152733 hasConceptScore W188152733C41008148 @default.
- W188152733 hasConceptScore W188152733C41895202 @default.
- W188152733 hasConceptScore W188152733C54355233 @default.
- W188152733 hasConceptScore W188152733C86803240 @default.
- W188152733 hasConceptScore W188152733C90805587 @default.
- W188152733 hasLocation W1881527331 @default.
- W188152733 hasOpenAccess W188152733 @default.
- W188152733 hasPrimaryLocation W1881527331 @default.
- W188152733 hasRelatedWork W1489720340 @default.
- W188152733 hasRelatedWork W1508636238 @default.
- W188152733 hasRelatedWork W1514009873 @default.
- W188152733 hasRelatedWork W2144190808 @default.
- W188152733 hasRelatedWork W2171013172 @default.
- W188152733 hasRelatedWork W2349125667 @default.
- W188152733 hasRelatedWork W2360025963 @default.
- W188152733 hasRelatedWork W2364562957 @default.
- W188152733 hasRelatedWork W2384888906 @default.
- W188152733 hasRelatedWork W3107474891 @default.
- W188152733 isParatext "false" @default.
- W188152733 isRetracted "false" @default.
- W188152733 magId "188152733" @default.
- W188152733 workType "book-chapter" @default.