{"id":"https://openalex.org/W3048775254","doi":"https://doi.org/10.1080/17517575.2020.1802514","title":"Credit risk management of scientific and technological enterprises based on text mining","display_name":"Credit risk management of scientific and technological enterprises based on text mining","publication_year":2020,"publication_date":"2020-08-12","ids":{"openalex":"https://openalex.org/W3048775254","doi":"https://doi.org/10.1080/17517575.2020.1802514","mag":"3048775254"},"language":"en","primary_location":{"id":"doi:10.1080/17517575.2020.1802514","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17517575.2020.1802514","pdf_url":null,"source":{"id":"https://openalex.org/S24861202","display_name":"Enterprise Information Systems","issn_l":"1751-7575","issn":["1751-7575","1751-7583"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Enterprise Information Systems","raw_type":"journal-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/A5101727154","display_name":"Chenggang Li","orcid":"https://orcid.org/0000-0002-5183-289X"},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenggang Li","raw_affiliation_strings":["Guizhou Key Laboratory of Big Data Statistics Analysis, Guizhou University of Finance and Economics, Guiyang, P. R. China","School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou Key Laboratory of Big Data Statistics Analysis, Guizhou University of Finance and Economics, Guiyang, P. R. China","institution_ids":["https://openalex.org/I170172562"]},{"raw_affiliation_string":"School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, P. R. China","institution_ids":["https://openalex.org/I170172562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101903938","display_name":"Qing Liu","orcid":"https://orcid.org/0000-0002-3493-2434"},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qing Liu","raw_affiliation_strings":["School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, P. R. China","institution_ids":["https://openalex.org/I170172562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067077182","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0001-9177-7453"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Huang","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, P. R. China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101903938"],"corresponding_institution_ids":["https://openalex.org/I170172562"],"apc_list":null,"apc_paid":null,"fwci":0.9701,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.79456069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":"6","first_page":"851","last_page":"867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9954000115394592,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9611999988555908,"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/logistic-regression","display_name":"Logistic regression","score":0.7278059720993042},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.48935288190841675},{"id":"https://openalex.org/keywords/credit-risk","display_name":"Credit risk","score":0.4745253622531891},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.42308276891708374},{"id":"https://openalex.org/keywords/web-crawler","display_name":"Web crawler","score":0.42072534561157227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3846123516559601},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.3206337094306946},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12560239434242249},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11579248309135437}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7278059720993042},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.48935288190841675},{"id":"https://openalex.org/C178350159","wikidata":"https://www.wikidata.org/wiki/Q162714","display_name":"Credit risk","level":2,"score":0.4745253622531891},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.42308276891708374},{"id":"https://openalex.org/C13743948","wikidata":"https://www.wikidata.org/wiki/Q45842","display_name":"Web crawler","level":2,"score":0.42072534561157227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3846123516559601},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.3206337094306946},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12560239434242249},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11579248309135437},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/17517575.2020.1802514","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17517575.2020.1802514","pdf_url":null,"source":{"id":"https://openalex.org/S24861202","display_name":"Enterprise Information Systems","issn_l":"1751-7575","issn":["1751-7575","1751-7583"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Enterprise Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.47999998927116394,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320329846","display_name":"Guizhou Key Laboratory of Big Data Statistics Analysis","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1484545635","https://openalex.org/W1847892995","https://openalex.org/W1988753456","https://openalex.org/W2048801439","https://openalex.org/W2301363727","https://openalex.org/W2549676568","https://openalex.org/W2561309841","https://openalex.org/W2725772539","https://openalex.org/W2773834911","https://openalex.org/W2923694509","https://openalex.org/W2954117584","https://openalex.org/W2984190500","https://openalex.org/W3026180642"],"related_works":["https://openalex.org/W3005260231","https://openalex.org/W2904469652","https://openalex.org/W4362647146","https://openalex.org/W2383572231","https://openalex.org/W2042034567","https://openalex.org/W3179424333","https://openalex.org/W4230722125","https://openalex.org/W2149158941","https://openalex.org/W1566984846","https://openalex.org/W3038813856"],"abstract_inverted_index":{"The":[0,32,44,61],"purpose":[1],"of":[2,10,71],"this":[3],"paper":[4],"is":[5,20,36,53,86],"to":[6,22,38,55],"verify":[7],"the":[8,24,40,57,66,72,78,89],"impact":[9],"financial":[11,25,41,46,51,80,84,96],"news":[12,26,42,47,81],"on":[13],"corporate":[14],"credit":[15],"risk.":[16],"Web":[17],"crawler":[18],"technology":[19,35],"used":[21,54],"obtain":[23],"text":[27,33,48,82],"from":[28],"Sina":[29],"Financial":[30],"News.":[31],"mining":[34],"utilized":[37],"quantify":[39],"text.":[43],"quantified":[45,79],"combined":[49],"with":[50,94],"indicators":[52,85],"build":[56],"Logistic":[58,73,90],"regression":[59,74,91],"model.":[60],"assessment":[62],"results":[63],"show":[64],"that":[65],"risk":[67],"early":[68],"warning":[69],"accuracy":[70],"model":[75,92],"incorporating":[76],"both":[77],"and":[83],"higher":[87],"than":[88],"only":[93],"pure":[95],"indicators.":[97]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}