{"id":"https://openalex.org/W2073924478","doi":"https://doi.org/10.1109/nlpke.2010.5587790","title":"Emotion analysis in blogs at sentence level using a Chinese emotion corpus","display_name":"Emotion analysis in blogs at sentence level using a Chinese emotion corpus","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2073924478","doi":"https://doi.org/10.1109/nlpke.2010.5587790","mag":"2073924478"},"language":"en","primary_location":{"id":"doi:10.1109/nlpke.2010.5587790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2010.5587790","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","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/A5087237198","display_name":"Changqin Quan","orcid":"https://orcid.org/0000-0002-3930-8163"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqin Quan","raw_affiliation_strings":["Department of Computer Science, Huazhong Normal University, Wuhan, China","Department of Computer Science, HuaZhong Normal University, WuHan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Huazhong Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"Department of Computer Science, HuaZhong Normal University, WuHan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102010131","display_name":"Tingting He","orcid":"https://orcid.org/0000-0001-7523-6550"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting He","raw_affiliation_strings":["Department of Computer Science, Huazhong Normal University, Wuhan, China","Department of Computer Science, HuaZhong Normal University, WuHan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Huazhong Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"Department of Computer Science, HuaZhong Normal University, WuHan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071943346","display_name":"Fuji Ren","orcid":"https://orcid.org/0000-0003-4860-9184"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fuji Ren","raw_affiliation_strings":["Faculty of Engineering, University of Tokushima, Tokushima, Japan","Faculty of Engineering; The University of Tokushima; Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Tokushima, Tokushima, Japan","institution_ids":["https://openalex.org/I922474255"]},{"raw_affiliation_string":"Faculty of Engineering; The University of Tokushima; Japan","institution_ids":["https://openalex.org/I922474255"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2725,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.51841774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"39","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9973000288009644,"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/T11795","display_name":"Humor Studies and Applications","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.8451574444770813},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.689530611038208},{"id":"https://openalex.org/keywords/punctuation","display_name":"Punctuation","score":0.6857700347900391},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6315305829048157},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6001693606376648},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.5440929532051086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5236905813217163},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.5105589628219604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.421913743019104},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4134575128555298}],"concepts":[{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.8451574444770813},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.689530611038208},{"id":"https://openalex.org/C540372491","wikidata":"https://www.wikidata.org/wiki/Q82622","display_name":"Punctuation","level":2,"score":0.6857700347900391},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6315305829048157},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6001693606376648},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5440929532051086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5236905813217163},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.5105589628219604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.421913743019104},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4134575128555298},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nlpke.2010.5587790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2010.5587790","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.800000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W4407872","https://openalex.org/W170592701","https://openalex.org/W180236776","https://openalex.org/W1595791987","https://openalex.org/W1965600549","https://openalex.org/W2039157612","https://openalex.org/W2047053749","https://openalex.org/W2071347708","https://openalex.org/W2090987251","https://openalex.org/W2102953093","https://openalex.org/W2105468141","https://openalex.org/W2125098710","https://openalex.org/W2126179176","https://openalex.org/W2151897491","https://openalex.org/W2154082132","https://openalex.org/W2168493061","https://openalex.org/W2171833880","https://openalex.org/W2395980234","https://openalex.org/W4211075179","https://openalex.org/W4285719527","https://openalex.org/W6600162929","https://openalex.org/W6606905564","https://openalex.org/W6607363741","https://openalex.org/W6675531489","https://openalex.org/W6678758578","https://openalex.org/W6712710312","https://openalex.org/W7072425790"],"related_works":["https://openalex.org/W2936002343","https://openalex.org/W2188883480","https://openalex.org/W1592364192","https://openalex.org/W656840002","https://openalex.org/W1605117403","https://openalex.org/W2381416480","https://openalex.org/W4300537970","https://openalex.org/W346416711","https://openalex.org/W2360644719","https://openalex.org/W2385471969"],"abstract_inverted_index":{"Previous":[0],"researches":[1],"for":[2,134],"emotional":[3,33,126,156,186],"analysis":[4,74,130],"of":[5,11,32,59,118,158,188],"texts":[6],"have":[7,175],"included":[8],"a":[9,63,159,165,189],"variety":[10],"text":[12,17,27],"contents:":[13],"weblogs,":[14],"stories,":[15],"news,":[16],"messages,":[18],"spoken":[19],"dialogs,":[20],"and":[21,49,57,101,145,171],"so":[22],"on.":[23],"Compared":[24],"with":[25,105],"other":[26],"styles,":[28],"the":[29,86,115,131,155,172,183],"main":[30],"characteristics":[31],"expressions":[34,50,77],"in":[35,68,78,168],"blogs":[36,79],"are":[37,51],"as":[38],"follows:":[39],"(1)":[40],"Highly":[41],"personal,":[42],"subjective":[43],"writing":[44],"style;":[45],"(2)":[46],"New":[47],"words":[48],"constantly":[52],"emerging;":[53],"(3)":[54],"The":[55],"integrity":[56],"continuity":[58],"using":[60],"language.":[61],"Using":[62],"Chinese":[64],"emotion":[65,76,122,135],"corpus":[66],"(Ren-CECps),":[67],"this":[69,169,177],"study,":[70],"we":[71,84,113,129,150],"make":[72,151],"an":[73,152],"on":[75,120,125],"at":[80,137],"sentence":[81,119,121,138,160,190,197],"level.":[82],"Firstly,":[83],"separate":[85],"sentences":[87,92,103],"into":[88],"two":[89,116],"classes:":[90],"simple":[91],"(sentences":[93,104],"without":[94],"negative":[95,106,140],"words,":[96,107,141],"conjunctions,":[97,108,142],"or":[98,109],"question":[99,110],"mark)":[100],"complex":[102],"mark).":[111],"Then":[112],"compare":[114],"classes":[117],"recognition":[123],"based":[124],"words.":[127],"Furthermore":[128],"following":[132],"factors":[133],"change":[136],"level:":[139],"punctuation":[143],"marks,":[144],"contextual":[146],"emotions.":[147,198],"At":[148],"last,":[149],"hypothesis":[153],"that":[154,181],"focus":[157,187],"could":[161],"be":[162,193],"expressed":[163],"by":[164],"certain":[166],"clause":[167],"sentence,":[170],"experimental":[173],"results":[174],"proved":[176],"hypothesis,":[178],"which":[179],"showed":[180],"selecting":[182],"clauses":[184],"containing":[185],"correctly":[191],"would":[192],"helpful":[194],"to":[195],"recognize":[196]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
