{"id":"https://openalex.org/W2597430559","doi":"https://doi.org/10.1109/ialp.2016.7875992","title":"Valence-arousal prediction of Chinese Words with multi-layer corpora","display_name":"Valence-arousal prediction of Chinese Words with multi-layer corpora","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2597430559","doi":"https://doi.org/10.1109/ialp.2016.7875992","mag":"2597430559"},"language":"en","primary_location":{"id":"doi:10.1109/ialp.2016.7875992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2016.7875992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Asian Language Processing (IALP)","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/A5100708912","display_name":"Xinrui Zhang","orcid":"https://orcid.org/0000-0003-1211-821X"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinrui Zhang","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010998018","display_name":"Piyuan Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Piyuan Lin","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429226","display_name":"Siyuan Chen","orcid":"https://orcid.org/0000-0001-7774-2430"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Chen","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020426513","display_name":"Hongjie Cen","orcid":null},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjie Cen","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077000248","display_name":"Jundong Wang","orcid":"https://orcid.org/0000-0002-1704-7724"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jundong Wang","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055881089","display_name":"Qiangjia Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiangjia Huang","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041700261","display_name":"Yuhong Xu","orcid":"https://orcid.org/0000-0003-0521-2646"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhong Xu","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042971931","display_name":"Jiecong Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiecong Tang","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035581403","display_name":"Peijie Huang","orcid":"https://orcid.org/0000-0002-2106-1334"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijie Huang","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I101479585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100708912"],"corresponding_institution_ids":["https://openalex.org/I101479585"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8103154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"304","last_page":"307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9965999722480774,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9937999844551086,"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":0.7780856490135193},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.7399243116378784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.739501416683197},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6465027332305908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6167014241218567},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.582613468170166},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5671513080596924},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5496587753295898},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.5280381441116333},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4396343231201172},{"id":"https://openalex.org/keywords/semantic-space","display_name":"Semantic space","score":0.43496960401535034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13849303126335144},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09811961650848389}],"concepts":[{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.7780856490135193},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.7399243116378784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.739501416683197},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6465027332305908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6167014241218567},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.582613468170166},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5671513080596924},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5496587753295898},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.5280381441116333},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4396343231201172},{"id":"https://openalex.org/C2986420190","wikidata":"https://www.wikidata.org/wiki/Q39045939","display_name":"Semantic space","level":2,"score":0.43496960401535034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13849303126335144},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09811961650848389},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp.2016.7875992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2016.7875992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1771834303","https://openalex.org/W1966797434","https://openalex.org/W2031998113","https://openalex.org/W2117645142","https://openalex.org/W2149628368","https://openalex.org/W2250553934","https://openalex.org/W2252754650","https://openalex.org/W2468785836","https://openalex.org/W2496889969","https://openalex.org/W4205184193","https://openalex.org/W4211186029","https://openalex.org/W6636510571","https://openalex.org/W6638062461","https://openalex.org/W6691656293"],"related_works":["https://openalex.org/W3003606604","https://openalex.org/W2795129682","https://openalex.org/W3040974839","https://openalex.org/W3107848922","https://openalex.org/W2899738483","https://openalex.org/W2612746495","https://openalex.org/W140922766","https://openalex.org/W858433989","https://openalex.org/W2341557172","https://openalex.org/W2554247024"],"abstract_inverted_index":{"This":[0],"paper":[1,82],"presents":[2],"our":[3],"valence-arousal":[4],"(VA)":[5],"prediction":[6,86],"method":[7,87],"in":[8,30,120,145,161],"the":[9,35,68,76,100,111,117,142,150],"IALP":[10],"2016":[11],"Shared":[12],"Task":[13],"of":[14,78,128,152],"Dimensional":[15,21],"Sentiment":[16],"Analysis":[17],"for":[18,40,54,157],"Chinese":[19,158],"Words.":[20],"approach":[22],"represents":[23],"affective":[24,129],"states":[25],"as":[26,34],"continuous":[27],"numerical":[28],"values":[29],"multiple":[31],"dimensions,":[32],"such":[33,93],"VA":[36,46,85,121,153],"space,":[37],"thus":[38],"allowing":[39],"more":[41],"fine-grained":[42],"sentiment":[43],"analysis.":[44],"For":[45],"prediction,":[47],"existing":[48],"works":[49],"usually":[50],"selected":[51,112],"similar":[52,104,113],"seeds":[53],"an":[55],"unseen":[56],"word":[57],"based":[58,115],"on":[59,116],"semantic":[60,69,96],"similarity":[61,70,77],"by":[62,106],"using":[63],"ontology":[64],"or":[65],"word2vec.":[66,107],"However":[67],"is":[71],"sometimes":[72],"quite":[73],"different":[74],"from":[75],"valence/arousal.":[79],"Therefore,":[80],"this":[81,146],"proposes":[83],"a":[84],"with":[88],"multi-layer":[89],"corpora":[90,127],"to":[91,134,148],"address":[92],"difference.":[94],"In":[95],"layer,":[97],"we":[98,109,124],"get":[99],"top":[101],"N":[102],"most":[103],"words":[105,114],"Then,":[108],"screen":[110],"training":[118],"data":[119],"layer.":[122],"Finally,":[123],"use":[125],"external":[126],"polarity":[130],"and":[131],"intensity":[132],"lexicons":[133],"make":[135],"further":[136],"filtering.":[137],"Experimental":[138],"results":[139],"show":[140],"that":[141],"proposed":[143],"methods":[144],"study":[147],"predict":[149],"value":[151],"yields":[154],"good":[155],"performance":[156],"words,":[159],"especially":[160],"V":[162],"dimension.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}