{"id":"https://openalex.org/W1973914601","doi":"https://doi.org/10.1109/apsipa.2014.7041725","title":"Emotion analysis of children's stories with context information","display_name":"Emotion analysis of children's stories with context information","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1973914601","doi":"https://doi.org/10.1109/apsipa.2014.7041725","mag":"1973914601"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2014.7041725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057050780","display_name":"Zhengchen Zhang","orcid":"https://orcid.org/0009-0005-4225-3537"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Zhengchen Zhang","raw_affiliation_strings":["Human Language Technology Department, Institute for Infocomm Research (I2R), A *STAR, Singapore"],"affiliations":[{"raw_affiliation_string":"Human Language Technology Department, Institute for Infocomm Research (I2R), A *STAR, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021872761","display_name":"Minghui Dong","orcid":"https://orcid.org/0000-0001-6543-2929"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Minghui Dong","raw_affiliation_strings":["Human Language Technology Department, Institute for Infocomm Research (I2R), A *STAR, Singapore"],"affiliations":[{"raw_affiliation_string":"Human Language Technology Department, Institute for Infocomm Research (I2R), A *STAR, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008501506","display_name":"Shuzhi Sam Ge","orcid":"https://orcid.org/0000-0001-5549-312X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]},{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Shuzhi Sam Ge","raw_affiliation_strings":["Department of Electrical and Computer Engineering and Social Robotics Laboratory, National University of Singapore, Singapore","Robotics Institute, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and Social Robotics Laboratory, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Robotics Institute, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057050780"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":0.818,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79547603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7504757642745972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7327330112457275},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7320601940155029},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5909304618835449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.588797926902771},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5181373357772827},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5003666877746582},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4677085280418396},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43134605884552},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.42849355936050415},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.339460164308548}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7504757642745972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7327330112457275},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7320601940155029},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5909304618835449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.588797926902771},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5181373357772827},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5003666877746582},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4677085280418396},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43134605884552},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.42849355936050415},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.339460164308548},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2014.7041725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W30283642","https://openalex.org/W80497942","https://openalex.org/W1504376199","https://openalex.org/W1507092986","https://openalex.org/W1513398909","https://openalex.org/W2003973281","https://openalex.org/W2032020379","https://openalex.org/W2038721957","https://openalex.org/W2045631398","https://openalex.org/W2056678123","https://openalex.org/W2079521622","https://openalex.org/W2097726431","https://openalex.org/W2117645142","https://openalex.org/W2134592850","https://openalex.org/W2148143831","https://openalex.org/W2153635508","https://openalex.org/W2168493061","https://openalex.org/W2296767389","https://openalex.org/W2404480901","https://openalex.org/W2796493717","https://openalex.org/W4205184193","https://openalex.org/W4235505822","https://openalex.org/W6601182942","https://openalex.org/W6630227486","https://openalex.org/W6697537309","https://openalex.org/W6713894373"],"related_works":["https://openalex.org/W2364370872","https://openalex.org/W2136763963","https://openalex.org/W2109705048","https://openalex.org/W2940588515","https://openalex.org/W1909151225","https://openalex.org/W2160030256","https://openalex.org/W1521297879","https://openalex.org/W4253235840","https://openalex.org/W3151937861","https://openalex.org/W3126677997"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"analyse":[4],"the":[5,15,21,53,68,87,90,96,104,114],"emotion":[6,22,54,72],"of":[7,23,89],"children's":[8,77],"stories":[9],"in":[10,39],"sentence":[11,25,61],"level":[12],"by":[13,36,74,113],"considering":[14],"context":[16],"information.":[17],"We":[18,66],"demonstrate":[19,94],"that":[20,95],"a":[24,40,60,76],"is":[26,49,62,83,109,123],"not":[27],"only":[28],"dependent":[29],"on":[30],"its":[31,37],"content,":[32],"but":[33],"also":[34],"affected":[35,110],"neighbours":[38],"story.":[41],"A":[42],"Hidden":[43],"Markov":[44],"Model":[45],"(HMM)":[46],"based":[47],"method":[48,98],"proposed":[50,97],"to":[51,57,85,125,129],"model":[52],"sequence":[55],"and":[56,107],"detect":[58],"whether":[59],"neutral":[63],"or":[64],"not.":[65],"show":[67],"important":[69],"features":[70],"for":[71],"detection":[73],"studying":[75],"story":[78],"corpus.":[79],"An":[80],"empirical":[81],"evaluation":[82],"conducted":[84],"investigate":[86],"efficiency":[88],"model.":[91],"The":[92],"results":[93],"can":[99],"achieve":[100,130],"competitive":[101],"performance":[102],"with":[103],"state-of-the-art":[105],"methods,":[106],"it":[108],"more":[111],"slightly":[112],"training":[115],"set":[116],"than":[117],"traditional":[118],"classification":[119],"methods.":[120],"Classifier":[121],"fusion":[122],"applied":[124],"combine":[126],"different":[127],"methods":[128],"better":[131],"results.":[132]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}