{"id":"https://openalex.org/W2022055320","doi":"https://doi.org/10.1002/meet.14504301168","title":"Exploring the Forecasting Potential of Company Annual Reports","display_name":"Exploring the Forecasting Potential of Company Annual Reports","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2022055320","doi":"https://doi.org/10.1002/meet.14504301168","mag":"2022055320"},"language":"en","primary_location":{"id":"doi:10.1002/meet.14504301168","is_oa":true,"landing_page_url":"https://doi.org/10.1002/meet.14504301168","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/meet.14504301168","source":{"id":"https://openalex.org/S4306523999","display_name":"Proceedings of the American Society for Information Science and Technology","issn_l":"1550-8390","issn":["1550-8390","1936-1734"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the American Society for Information Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/meet.14504301168","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102019018","display_name":"Xin Qiu","orcid":"https://orcid.org/0000-0001-5358-8854"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xin Ying Qiu","raw_affiliation_strings":["Management Sciences Department, Tippie College of Business, The University of Iowa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Management Sciences Department, Tippie College of Business, The University of Iowa","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016839456","display_name":"Padmini Srinivasan","orcid":"https://orcid.org/0000-0001-8791-403X"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Padmini Srinivasan","raw_affiliation_strings":["Management Sciences Department, Tippie College of Business, School of Library and Information Science, The University of Iowa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Management Sciences Department, Tippie College of Business, School of Library and Information Science, The University of Iowa","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031033430","display_name":"W. Nick Street","orcid":"https://orcid.org/0000-0002-1632-5905"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nick Street","raw_affiliation_strings":["Management Sciences Department, Tippie College of Business, The University of Iowa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Management Sciences Department, Tippie College of Business, The University of Iowa","institution_ids":["https://openalex.org/I126307644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102019018"],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":null,"apc_paid":null,"fwci":1.2995,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.81592065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"43","issue":"1","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9897000193595886,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6393420696258545},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6317034363746643},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5965883135795593},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5532891750335693},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5332697629928589},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5275996327400208},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5121171474456787},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.504927933216095},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.5000669956207275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.497894287109375},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48121383786201477},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46050167083740234},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4422285556793213},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4368322491645813},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43244606256484985},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.076515793800354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6393420696258545},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6317034363746643},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5965883135795593},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5532891750335693},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5332697629928589},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5275996327400208},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5121171474456787},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.504927933216095},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.5000669956207275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.497894287109375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48121383786201477},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46050167083740234},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4422285556793213},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4368322491645813},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43244606256484985},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.076515793800354},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1002/meet.14504301168","is_oa":true,"landing_page_url":"https://doi.org/10.1002/meet.14504301168","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/meet.14504301168","source":{"id":"https://openalex.org/S4306523999","display_name":"Proceedings of the American Society for Information Science and Technology","issn_l":"1550-8390","issn":["1550-8390","1936-1734"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the American Society for Information Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:eprints.rclis.org:8842","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401228","display_name":"E-LIS Repository (University of Naples Federico II)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71267560","host_organization_name":"University of Naples Federico II","host_organization_lineage":["https://openalex.org/I71267560"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.529.9953","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.529.9953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dollar.biz.uiowa.edu/~street/research/sdm05xin.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.91.2287","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.91.2287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dollar.biz.uiowa.edu/~street/research/asist06xin.pdf","raw_type":"text"},{"id":"pmh:oai:hispana.mcu.es:6654046","is_oa":false,"landing_page_url":"https://hispana.mcu.es/es/registros/registro.do?tipoRegistro=MTD&idBib=6654046","pdf_url":null,"source":{"id":"https://openalex.org/S4377196108","display_name":"Hispana","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.1002/meet.14504301168","is_oa":true,"landing_page_url":"https://doi.org/10.1002/meet.14504301168","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/meet.14504301168","source":{"id":"https://openalex.org/S4306523999","display_name":"Proceedings of the American Society for Information Science and Technology","issn_l":"1550-8390","issn":["1550-8390","1936-1734"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the American Society for Information Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2022055320.pdf","grobid_xml":"https://content.openalex.org/works/W2022055320.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1517068140","https://openalex.org/W1833785989","https://openalex.org/W1941537533","https://openalex.org/W1989001534","https://openalex.org/W2000569744","https://openalex.org/W2026256898","https://openalex.org/W2072160788","https://openalex.org/W2148781668","https://openalex.org/W2149684865","https://openalex.org/W2164866191","https://openalex.org/W3122965286","https://openalex.org/W4234200495","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4295769391","https://openalex.org/W2972220648","https://openalex.org/W2332667808","https://openalex.org/W1997921863","https://openalex.org/W3112960490","https://openalex.org/W2344144656","https://openalex.org/W93605524","https://openalex.org/W4250894911","https://openalex.org/W2083862258","https://openalex.org/W3144599579"],"abstract_inverted_index":{"Abstract":[0],"Previous":[1],"research":[2,160],"indicates":[3],"that":[4],"the":[5,19,36,80,85,117,127,137,162,169,180],"narration":[6],"disclosure":[7],"in":[8,17],"company":[9,133],"annual":[10,68,172,186],"reports":[11,41,69,173],"can":[12,145],"be":[13,146],"used":[14,74],"to":[15,31,78,149],"assist":[16],"assessing":[18],"company's":[20,156],"short\u2010term":[21,175],"financial":[22,134],"prospects.":[23],"However,":[24],"not":[25],"much":[26],"effort":[27],"has":[28],"been":[29],"made":[30],"systematically":[32],"and":[33,47,83,97,106,112,119,174],"automatically":[34,130],"assess":[35],"predictive":[37,57,90],"potential":[38],"of":[39,67,70,89,121,129,155,168,182],"such":[40],"using":[42],"text":[43,143],"classification,":[44],"information":[45],"retrieval,":[46],"machine":[48],"learning":[49],"techniques.":[50],"In":[51],"this":[52],"study,":[53],"we":[54],"built":[55],"SVM\u2010based":[56],"models":[58],"with":[59,94],"different":[60,103],"feature":[61,75],"selection":[62,76],"methods":[63,77],"from":[64,136],"ten":[65],"years":[66],"30":[71],"companies.":[72],"We":[73,101,115,141],"reduce":[79],"term":[81],"space":[82],"studied":[84,148],"class\u2010related":[86],"vocabulary.":[87],"Evaluation":[88],"accuracy":[91],"is":[92],"performed":[93],"cross":[95],"validation":[96],"t\u2010test":[98],"significance":[99],"tests.":[100],"compare":[102],"models'":[104],"performance":[105,135],"analyze":[107],"misclassification":[108],"rates":[109],"by":[110,113],"year":[111],"industry.":[114],"identify":[116],"strengths":[118],"weaknesses":[120],"each":[122],"model.":[123],"Our":[124],"results":[125],"support":[126],"feasibility":[128],"predicting":[131],"next\u2010year":[132],"current":[138],"year's":[139],"report.":[140],"suggest":[142],"features":[144],"further":[147],"understand":[150],"their":[151],"roles":[152],"as":[153,177,179],"indicators":[154],"future":[157],"performance.":[158],"This":[159],"paves":[161],"way":[163],"for":[164],"large\u2010scale":[165],"automatic":[166],"analysis":[167],"relationship":[170],"between":[171],"performance,":[176],"well":[178],"identification":[181],"interesting":[183],"signals":[184],"within":[185],"reports.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}