{"id":"https://openalex.org/W4389967299","doi":"https://doi.org/10.1145/3629264.3629271","title":"A Rule-Based Unstructured Information Extraction Model for Announcements of Listed Companies' Stock Increase or Decrease","display_name":"A Rule-Based Unstructured Information Extraction Model for Announcements of Listed Companies' Stock Increase or Decrease","publication_year":2023,"publication_date":"2023-09-15","ids":{"openalex":"https://openalex.org/W4389967299","doi":"https://doi.org/10.1145/3629264.3629271"},"language":"en","primary_location":{"id":"doi:10.1145/3629264.3629271","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3629264.3629271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computing and Data Analysis","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/A5101507992","display_name":"Cheng Xiang","orcid":"https://orcid.org/0009-0008-4775-3137"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Xiang","raw_affiliation_strings":["Department 8 of System, North China Institute of Computing Technology, China"],"raw_orcid":"https://orcid.org/0009-0008-4775-3137","affiliations":[{"raw_affiliation_string":"Department 8 of System, North China Institute of Computing Technology, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026086533","display_name":"Zheng Yang-fei","orcid":"https://orcid.org/0009-0007-2292-7842"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Yangfei","raw_affiliation_strings":["Department 8 of System, North China Institute of Computing Technology, China"],"raw_orcid":"https://orcid.org/0009-0007-2292-7842","affiliations":[{"raw_affiliation_string":"Department 8 of System, North China Institute of Computing Technology, China","institution_ids":["https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9750000238418579,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9750000238418579,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9034000039100647,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7142338156700134},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.705609917640686},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.6180017590522766},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.49023371934890747},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.4668930768966675},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4068148136138916},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3987148404121399},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3541101813316345},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.339819073677063},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.22098171710968018},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0910208523273468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7142338156700134},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.705609917640686},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6180017590522766},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.49023371934890747},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.4668930768966675},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4068148136138916},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3987148404121399},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3541101813316345},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.339819073677063},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.22098171710968018},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0910208523273468},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3629264.3629271","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3629264.3629271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computing and Data Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1987301087","https://openalex.org/W2252215182","https://openalex.org/W2774370237","https://openalex.org/W2786925426","https://openalex.org/W2792524907","https://openalex.org/W2896457183","https://openalex.org/W2970288995","https://openalex.org/W3196437953","https://openalex.org/W6629638141"],"related_works":["https://openalex.org/W2030910246","https://openalex.org/W4389912246","https://openalex.org/W4205553786","https://openalex.org/W4385489363","https://openalex.org/W2372366649","https://openalex.org/W4316660311","https://openalex.org/W3155464240","https://openalex.org/W4362731990","https://openalex.org/W4247799923","https://openalex.org/W2921654184"],"abstract_inverted_index":{"With":[0],"the":[1,25,31,39,68,88,154],"development":[2],"and":[3,30,52,99,120,131,145,148,158],"application":[4,151],"of":[5,11,19,27,33,38,58,62,70,90,156],"Internet":[6],"technology,":[7],"a":[8,55,107],"large":[9,56],"amount":[10,57],"text":[12],"information":[13,20,28,50,75,86,98,110,133],"has":[14,142,149],"become":[15],"an":[16,77],"important":[17],"source":[18],"for":[21],"people":[22],"[1].":[23],"However,":[24],"diversity":[26],"sources":[29],"complexity":[32],"expression":[34],"make":[35,100],"it":[36],"one":[37],"hotspots":[40],"in":[41,153],"current":[42],"natural":[43],"language":[44],"processing":[45],"research":[46],"to":[47,79,82,93,123,135],"extract":[48,84,124],"valuable":[49],"efficiently":[51],"accurately":[53],"from":[54,87,126],"text.":[59],"In":[60],"view":[61],"this":[63,65],"problem,":[64],"paper":[66,105],"takes":[67],"extraction":[69,111],"stock":[71,136],"increase":[72,137],"or":[73,138],"decrease":[74],"as":[76],"example":[78],"study":[80],"how":[81],"automatically":[83,129],"unstructured":[85,109],"announcements":[89],"listed":[91],"companies":[92],"help":[94],"investors":[95,157],"better":[96],"obtain":[97],"wise":[101],"investment":[102],"decisions.":[103],"This":[104],"proposes":[106],"rule-based":[108],"model":[112,141],"called":[113],"RUIE":[114],"that":[115],"combines":[116],"web":[117],"scraping":[118],"technology":[119,122],"NLP":[121],"features":[125],"HTML":[127],"documents,":[128],"identifying":[130],"extracting":[132],"related":[134,159],"decrease.":[139],"The":[140],"strong":[143],"practicality":[144],"promotion":[146],"value":[147],"broad":[150],"prospects":[152],"field":[155],"research.":[160]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}