{"id":"https://openalex.org/W4312678798","doi":"https://doi.org/10.1109/indin51773.2022.9976091","title":"Sentiment Analysis of Board Secretaries\u2019 Q&R Data","display_name":"Sentiment Analysis of Board Secretaries\u2019 Q&R Data","publication_year":2022,"publication_date":"2022-07-25","ids":{"openalex":"https://openalex.org/W4312678798","doi":"https://doi.org/10.1109/indin51773.2022.9976091"},"language":"en","primary_location":{"id":"doi:10.1109/indin51773.2022.9976091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin51773.2022.9976091","pdf_url":null,"source":{"id":"https://openalex.org/S4363608444","display_name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","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/A5023224460","display_name":"Jia Miao","orcid":"https://orcid.org/0000-0002-6267-4401"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia Miao","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019425648","display_name":"Jianwu Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwu Lin","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022316069","display_name":"Shenglei Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108461","display_name":"Kingsoft (China)","ror":"https://ror.org/01stnfn33","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210108461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenglei Hu","raw_affiliation_strings":["KingSoft,KingSoft AI Lab","KingSoft AI Lab, KingSoft"],"affiliations":[{"raw_affiliation_string":"KingSoft,KingSoft AI Lab","institution_ids":["https://openalex.org/I4210108461"]},{"raw_affiliation_string":"KingSoft AI Lab, KingSoft","institution_ids":["https://openalex.org/I4210108461"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083540745","display_name":"Guangling Liu","orcid":"https://orcid.org/0009-0004-1987-651X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangling Liu","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023224460"],"corresponding_institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.32541478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"534","last_page":"539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9965000152587891,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9483000040054321,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.500983715057373}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.500983715057373}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin51773.2022.9976091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin51773.2022.9976091","pdf_url":null,"source":{"id":"https://openalex.org/S4363608444","display_name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2018543616","https://openalex.org/W2591334920","https://openalex.org/W2624775096","https://openalex.org/W3007165777","https://openalex.org/W3088886232","https://openalex.org/W6739226397"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"In":[0,34],"the":[1,6,42,50,57,64,75,86,104,124,138,143,149],"Internet":[2],"era,":[3],"due":[4],"to":[5,19,48],"rapid":[7],"development":[8],"of":[9,28,41,52,60],"investors":[10],"communication":[11],"with":[12,92,148,152],"public":[13],"companies,":[14],"people":[15],"have":[16],"diversified":[17],"ways":[18],"express":[20],"their":[21],"opinions,":[22],"thus":[23],"generating":[24],"a":[25,39],"large":[26],"amount":[27],"data,":[29,103],"which":[30,81],"contains":[31],"valuable":[32],"information.":[33],"this":[35,109,119],"paper,":[36],"we":[37],"use":[38],"combination":[40],"financial":[43,95,125,139,144],"sentiment":[44,51,88,128,146],"dictionary":[45],"and":[46,74,101,114,130,134],"Bert":[47,150],"analyze":[49],"investors\u2019":[53],"questions":[54],"based":[55],"on":[56,63],"Q&R":[58,105],"data":[59,106],"board":[61],"secretaries":[62],"platform":[65],"\"Easy":[66],"Interactive\"":[67],"(http://irm.cninfo.com.cn/)":[68],"launched":[69],"by":[70,141],"Shenzhen":[71],"Stock":[72],"Exchange,":[73],"final":[76],"accuracy":[77],"rate":[78],"is":[79,82,115],"92%,":[80],"16%":[83],"higher":[84],"than":[85],"traditional":[87],"analysis":[89,129],"methods.":[90],"Compared":[91],"offline":[93],"research,":[94],"news,":[96],"stock":[97],"forums,":[98],"social":[99],"software,":[100],"other":[102],"selected":[107],"in":[108,123,127,137],"paper":[110,120],"has":[111,131],"less":[112],"noise":[113],"more":[116],"intuitive.":[117],"Moreover,":[118],"considers":[121],"knowledge":[122],"domain":[126,132,140,145],"friendliness":[133],"model":[135,151],"generalization":[136],"combining":[142],"lexicon":[147],"adversarial":[153],"training.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}