{"id":"https://openalex.org/W2765455385","doi":"https://doi.org/10.1002/pra2.2017.14505401157","title":"Investigating the efficacy of sentence filtering in predicting analysts' ratings following a 10\u2010K filing","display_name":"Investigating the efficacy of sentence filtering in predicting analysts' ratings following a 10\u2010K filing","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2765455385","doi":"https://doi.org/10.1002/pra2.2017.14505401157","mag":"2765455385"},"language":"en","primary_location":{"id":"doi:10.1002/pra2.2017.14505401157","is_oa":false,"landing_page_url":"https://doi.org/10.1002/pra2.2017.14505401157","pdf_url":null,"source":{"id":"https://openalex.org/S4393918545","display_name":"Proceedings of the Association for Information Science and Technology","issn_l":"2373-9231","issn":["2373-9231"],"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 Association for Information Science and Technology","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/A5080428330","display_name":"Jonathan Pulliza","orcid":"https://orcid.org/0000-0001-5357-6802"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jonathan Pulliza","raw_affiliation_strings":["School of Communication and Information (SC&I) Rutgers University USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information (SC&I) Rutgers University USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080428330"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2025937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":"1","first_page":"787","last_page":"789"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10081","display_name":"Auditing, Earnings Management, Governance","score":0.9976999759674072,"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/T10081","display_name":"Auditing, Earnings Management, Governance","score":0.9976999759674072,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9850000143051147,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9677000045776367,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6604626774787903},{"id":"https://openalex.org/keywords/boilerplate-text","display_name":"Boilerplate text","score":0.6589839458465576},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6507495045661926},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5632120966911316},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5520980358123779},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5255160331726074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5105596780776978},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.47250473499298096},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3394582271575928},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07032603025436401}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604626774787903},{"id":"https://openalex.org/C75701414","wikidata":"https://www.wikidata.org/wiki/Q1651672","display_name":"Boilerplate text","level":2,"score":0.6589839458465576},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6507495045661926},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5632120966911316},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5520980358123779},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5255160331726074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5105596780776978},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.47250473499298096},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3394582271575928},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07032603025436401},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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:10.1002/pra2.2017.14505401157","is_oa":false,"landing_page_url":"https://doi.org/10.1002/pra2.2017.14505401157","pdf_url":null,"source":{"id":"https://openalex.org/S4393918545","display_name":"Proceedings of the Association for Information Science and Technology","issn_l":"2373-9231","issn":["2373-9231"],"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 Association for Information Science and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1602368597","https://openalex.org/W1894040728","https://openalex.org/W1905899724","https://openalex.org/W1967390364","https://openalex.org/W2108303163","https://openalex.org/W2162256707","https://openalex.org/W2313281002","https://openalex.org/W2330609380","https://openalex.org/W2605595296","https://openalex.org/W3122556742","https://openalex.org/W3123287217","https://openalex.org/W3125771745","https://openalex.org/W3125952890"],"related_works":["https://openalex.org/W3099765033","https://openalex.org/W2989932438","https://openalex.org/W2792213864","https://openalex.org/W2035950535","https://openalex.org/W4285802257","https://openalex.org/W2357241418","https://openalex.org/W2351555819","https://openalex.org/W2789919619","https://openalex.org/W2086064646","https://openalex.org/W159132833"],"abstract_inverted_index":{"ABSTRACT":[0],"This":[1,52],"project":[2],"proposes":[3],"utilizing":[4],"the":[5,10,18,33,49,56,65,81,95,113,143,147,154,164,174,178],"textual":[6],"features":[7],"of":[8,13,25,35,58,67,133,139,142,169,177],"only":[9,41,106],"new":[11,134],"sentences":[12,43,135,141],"financial":[14],"filings":[15],"to":[16,38,80,87,116],"predict":[17],"analyst":[19,175],"rating":[20,176],"following":[21],"that":[22,44,103,112],"filing.":[23,51],"Instead":[24],"treating":[26],"each":[27],"document":[28,79,114],"as":[29,70,72,120,136],"independent,":[30],"this":[31,98],"examines":[32],"efficacy":[34],"limiting":[36],"models":[37],"be":[39,88],"trained":[40,162],"on":[42,163],"do":[45],"not":[46,85,101],"appear":[47],"in":[48,64,108],"previous":[50],"approach":[53,99],"greatly":[54],"reduces":[55],"amount":[57,132],"text":[59,122],"processed":[60],"by":[61],"a":[62,117,137],"model,":[63],"hope":[66],"counteracting":[68],"overfitting,":[69],"well":[71,160],"controlling":[73],"for":[74,90],"boilerplate":[75],"language":[76],"from":[77],"one":[78],"next,":[82],"which":[83],"is":[84,105,150],"expected":[86],"informative":[89],"analysts'":[91],"decision":[92],"making.":[93],"At":[94],"same":[96],"time,":[97],"does":[100],"assume":[102],"information":[104],"contained":[107],"certain":[109],"sections":[110],"or":[111],"adheres":[115],"strict":[118],"structure,":[119],"all":[121],"including":[123],"any":[124],"tables":[125],"and":[126],"footnotes":[127],"are":[128],"analyzed.":[129],"The":[130],"average":[131],"percentage":[138],"total":[140],"sample":[144],"industry":[145],"during":[146],"2011\u20132015":[148],"period":[149],"approximately":[151],"50%,":[152],"while":[153],"best":[155],"performing":[156],"model":[157],"performs":[158],"similarly":[159],"when":[161,172],"full":[165],"versus":[166],"filtered":[167],"documents":[168],"three":[170],"years":[171],"predicting":[173],"two":[179],"subsequent":[180],"years.":[181]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}