{"id":"https://openalex.org/W2899739655","doi":"https://doi.org/10.18653/v1/w18-6214","title":"Leveraging Writing Systems Change for Deep Learning Based Chinese Emotion Analysis","display_name":"Leveraging Writing Systems Change for Deep Learning Based Chinese Emotion Analysis","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2899739655","doi":"https://doi.org/10.18653/v1/w18-6214","mag":"2899739655"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w18-6214","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6214","pdf_url":"https://www.aclweb.org/anthology/W18-6214.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W18-6214.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049550908","display_name":"Rong Xiang","orcid":"https://orcid.org/0000-0001-7560-1378"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Rong Xiang","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University csrxiang,csylong,"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University csrxiang,csylong,","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001981431","display_name":"Yunfei Long","orcid":"https://orcid.org/0000-0002-4407-578X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yunfei Long","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University csrxiang,csylong,"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University csrxiang,csylong,","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016391596","display_name":"Qin Lu","orcid":"https://orcid.org/0000-0002-9092-2476"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qin Lu","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University csrxiang,csylong,"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University csrxiang,csylong,","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101431183","display_name":"Dan Xiong","orcid":"https://orcid.org/0000-0001-6066-5125"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Dan Xiong","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University csrxiang,csylong,"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University csrxiang,csylong,","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101880906","display_name":"I-Hsuan Chen","orcid":"https://orcid.org/0000-0002-2247-160X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"I-Hsuan Chen","raw_affiliation_strings":["Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University"],"affiliations":[{"raw_affiliation_string":"Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101431183"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.1692,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61694794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"96"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9909999966621399,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9843999743461609,"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/computer-science","display_name":"Computer science","score":0.7241924405097961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6560912728309631},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6021876931190491},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.4778865575790405},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4485520124435425},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4481486678123474},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4228469729423523},{"id":"https://openalex.org/keywords/alphabet","display_name":"Alphabet","score":0.41826778650283813},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.22635629773139954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7241924405097961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6560912728309631},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6021876931190491},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.4778865575790405},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4485520124435425},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4481486678123474},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4228469729423523},{"id":"https://openalex.org/C112876837","wikidata":"https://www.wikidata.org/wiki/Q837518","display_name":"Alphabet","level":2,"score":0.41826778650283813},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.22635629773139954},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w18-6214","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6214","pdf_url":"https://www.aclweb.org/anthology/W18-6214.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w18-6214","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6214","pdf_url":"https://www.aclweb.org/anthology/W18-6214.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G7659334857","display_name":null,"funder_award_id":"152006/16E","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"}],"funders":[{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2899739655.pdf","grobid_xml":"https://content.openalex.org/works/W2899739655.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W16466945","https://openalex.org/W66373487","https://openalex.org/W107227522","https://openalex.org/W142730124","https://openalex.org/W1966797434","https://openalex.org/W2022120982","https://openalex.org/W2032226022","https://openalex.org/W2040467972","https://openalex.org/W2053647005","https://openalex.org/W2105253924","https://openalex.org/W2124156373","https://openalex.org/W2130466720","https://openalex.org/W2137981452","https://openalex.org/W2165139975","https://openalex.org/W2182353144","https://openalex.org/W2250243742","https://openalex.org/W2250867389","https://openalex.org/W2252215182","https://openalex.org/W2263169629","https://openalex.org/W2470673105","https://openalex.org/W2576363333","https://openalex.org/W2626529893","https://openalex.org/W2757442264","https://openalex.org/W2916132663","https://openalex.org/W2950426098","https://openalex.org/W3124623521"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575","https://openalex.org/W2801635251"],"abstract_inverted_index":{"Social":[0],"media":[1],"text":[2,12,23,118,128,140],"written":[3,13],"in":[4,14,76,137],"Chinese":[5],"communities":[6],"contains":[7],"mixed":[8],"scripts":[9],"including":[10],"major":[11,70,117],"Chinese,":[15],"an":[16,27,100,122,145],"ideographbased":[17],"writing":[18,29,35],"system,":[19],"and":[20,55],"some":[21],"minor":[22,127,139],"using":[24,158],"Latin":[25],"letters,":[26],"alphabet-based":[28],"system.":[30],"This":[31],"phenomenon":[32],"is":[33,58,119,129],"called":[34],"systems":[36],"changes":[37],"(WSCs).":[38],"Past":[39],"studies":[40],"have":[41],"shown":[42],"that":[43,154],"WSCs":[44,63,98,111,156],"can":[45,64,162],"be":[46],"used":[47],"to":[48,96,169],"express":[49],"emotions,":[50],"particularly":[51],"where":[52],"the":[53,66,69,116,126,138,170],"social":[54],"political":[56],"environment":[57],"more":[59,74],"conservative.":[60],"However,":[61],"because":[62],"break":[65],"syntax":[67],"of":[68,115],"text,":[71],"it":[72],"poses":[73],"challenges":[75],"Natural":[77],"Language":[78],"Processing":[79],"(NLP)":[80],"tasks":[81],"like":[82],"emotion":[83,104,149],"classification.":[84,150],"In":[85],"this":[86],"work,":[87],"we":[88],"present":[89],"a":[90,132],"novel":[91],"deep":[92,159],"learning":[93,160],"based":[94],"method":[95,107],"include":[97],"as":[99],"effective":[101],"feature":[102],"for":[103],"analysis.":[105],"The":[106],"first":[108],"identifies":[109],"all":[110],"points.":[112],"Then":[113],"representation":[114],"learned":[120,130],"through":[121,144],"LSTM":[123],"model":[124],"whereas":[125],"by":[131,166],"separate":[133],"CNN":[134],"model.":[135,172],"Emotions":[136],"are":[141],"further":[142],"highlighted":[143],"attention":[146],"mechanism":[147],"before":[148],"Performance":[151],"evaluation":[152],"shows":[153],"incorporating":[155],"features":[157],"models":[161],"improve":[163],"performance":[164],"measured":[165],"F1-scores":[167],"compared":[168],"state-of-the-art":[171]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
