{"id":"https://openalex.org/W1984590440","doi":"https://doi.org/10.1109/apsipa.2014.7041538","title":"Analysis of modifier structure for emotion expressions","display_name":"Analysis of modifier structure for emotion expressions","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1984590440","doi":"https://doi.org/10.1109/apsipa.2014.7041538","mag":"1984590440"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2014.7041538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041538","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":"conference-paper","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/A5085633092","display_name":"Liang-Chih Yu","orcid":"https://orcid.org/0000-0003-1443-4347"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Liang-Chih Yu","raw_affiliation_strings":["Department of Information Management","Innovation Center for Big Data, Digital Convergence Yuan Ze University, Chung-Li, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management","institution_ids":[]},{"raw_affiliation_string":"Innovation Center for Big Data, Digital Convergence Yuan Ze University, Chung-Li, R.O.C","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044292096","display_name":"K. Robert Lai","orcid":"https://orcid.org/0000-0002-3365-3927"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"K. Robert Lai","raw_affiliation_strings":["Department of Computer Science and Engineering","Innovation Center for Big Data, Digital Convergence Yuan Ze University, Chung-Li, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering","institution_ids":[]},{"raw_affiliation_string":"Innovation Center for Big Data, Digital Convergence Yuan Ze University, Chung-Li, R.O.C","institution_ids":["https://openalex.org/I99908691"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10731908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994000196456909,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9977999925613403,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9761999845504761,"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/valence","display_name":"Valence (chemistry)","score":0.7965718507766724},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7142254710197449},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.7054161429405212},{"id":"https://openalex.org/keywords/negation","display_name":"Negation","score":0.687590479850769},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.540779173374176},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5382573008537292},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.5113982558250427},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5105756521224976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.441880464553833},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.4112221598625183},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.39648115634918213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32761305570602417},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1473000943660736},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10700720548629761}],"concepts":[{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.7965718507766724},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7142254710197449},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.7054161429405212},{"id":"https://openalex.org/C2185349","wikidata":"https://www.wikidata.org/wiki/Q190558","display_name":"Negation","level":2,"score":0.687590479850769},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.540779173374176},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5382573008537292},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.5113982558250427},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5105756521224976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.441880464553833},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4112221598625183},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.39648115634918213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32761305570602417},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1473000943660736},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10700720548629761},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2014.7041538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041538","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W38739846","https://openalex.org/W123190706","https://openalex.org/W1771834303","https://openalex.org/W1964716415","https://openalex.org/W1966797434","https://openalex.org/W1983507146","https://openalex.org/W2011342764","https://openalex.org/W2031686728","https://openalex.org/W2077132576","https://openalex.org/W2084046180","https://openalex.org/W2096333412","https://openalex.org/W2097726431","https://openalex.org/W2108646579","https://openalex.org/W2117645142","https://openalex.org/W2121417905","https://openalex.org/W2128279859","https://openalex.org/W2149628368","https://openalex.org/W2151543699","https://openalex.org/W2339343773","https://openalex.org/W2612769033","https://openalex.org/W4205184193","https://openalex.org/W4230277160","https://openalex.org/W4285719527","https://openalex.org/W6601528862","https://openalex.org/W6604952375","https://openalex.org/W6674485571","https://openalex.org/W6678748127","https://openalex.org/W6682209933"],"related_works":["https://openalex.org/W2029072726","https://openalex.org/W91913183","https://openalex.org/W2936882366","https://openalex.org/W1987182177","https://openalex.org/W2736893848","https://openalex.org/W2128698257","https://openalex.org/W1544055438","https://openalex.org/W3003450285","https://openalex.org/W2013608943","https://openalex.org/W2085024878"],"abstract_inverted_index":{"Dimensional":[0],"emotion":[1,21,48,53,74,104,124],"representation":[2],"such":[3,64],"as":[4,65],"valence":[5,33],"and":[6,34,38,57,73,91],"arousal":[7,35],"(VA)":[8],"space":[9,29],"has":[10],"been":[11],"an":[12],"emerging":[13],"way":[14],"to":[15,26,31],"represent":[16],"emotions.":[17],"In":[18,93,106],"this":[19,94],"representation,":[20],"words":[22,49],"can":[23,41,79],"be":[24,43],"projected":[25,44],"the":[27,47,111],"VA":[28,86,121],"according":[30],"their":[32],"values.":[36],"Sentence":[37],"document-level":[39],"emotions":[40],"then":[42],"based":[45],"on":[46,119],"within":[50],"them.":[51],"However,":[52],"expressions":[54],"in":[55,88],"sentences":[56],"documents":[58],"usually":[59],"contain":[60],"various":[61,98],"modifier":[62,77,101,117],"structure":[63,78,102,118],"negation":[66],"(e.g.,":[67],"not":[68],"happy),":[69],"degree":[70],"(very":[71],"happy)":[72],"compounds.":[75],"Such":[76],"provide":[80],"more":[81],"precise":[82],"information":[83],"for":[84,103,123],"measuring":[85,120],"values":[87,122],"both":[89],"sentence":[90],"document-levels.":[92],"study,":[95],"we":[96,108],"analyze":[97],"types":[99,115],"of":[100,113,116],"expressions.":[105,125],"addition,":[107],"also":[109],"investigate":[110],"effect":[112],"different":[114]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}