{"id":"https://openalex.org/W2949292845","doi":"https://doi.org/10.18653/v1/p19-2046","title":"Convolutional Neural Networks for Financial Text Regression","display_name":"Convolutional Neural Networks for Financial Text Regression","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2949292845","doi":"https://doi.org/10.18653/v1/p19-2046","mag":"2949292845"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-2046","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-2046","pdf_url":"https://www.aclweb.org/anthology/P19-2046.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-2046.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063699565","display_name":"Ne\u015fat Dereli","orcid":"https://orcid.org/0000-0003-0395-227X"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ne\u015fat Dereli","raw_affiliation_strings":["Institute of Graduate Studies in Science and Engineering  Electrical and Electronics Engineering Department Bogazic i University, Istanbul, Turkey","Institute of Graduate Studies in Science and Engineering \u2021 Electrical and Electronics Engineering Department Bogazic \u00b8i University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Institute of Graduate Studies in Science and Engineering  Electrical and Electronics Engineering Department Bogazic i University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]},{"raw_affiliation_string":"Institute of Graduate Studies in Science and Engineering \u2021 Electrical and Electronics Engineering Department Bogazic \u00b8i University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055086464","display_name":"Murat Sara\u00e7lar","orcid":"https://orcid.org/0000-0002-7435-8510"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Murat Saraclar","raw_affiliation_strings":["Institute of Graduate Studies in Science and Engineering \u2021 Electrical and Electronics Engineering Department Bogazic \u00b8i University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Institute of Graduate Studies in Science and Engineering \u2021 Electrical and Electronics Engineering Department Bogazic \u00b8i University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063699565"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":1.9806,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87044645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"331","last_page":"337"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9850000143051147,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9610999822616577,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7238277196884155},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.700060248374939},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6877232193946838},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6735807657241821},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6302278637886047},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5142876505851746},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.494660347700119},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4927709400653839},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4886487126350403},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.45373740792274475},{"id":"https://openalex.org/keywords/volatility","display_name":"Volatility (finance)","score":0.4493083953857422},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4305214285850525},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.410671591758728},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.41001346707344055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3941711187362671},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.25275546312332153},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13858148455619812},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13648176193237305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7238277196884155},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.700060248374939},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6877232193946838},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6735807657241821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6302278637886047},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5142876505851746},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.494660347700119},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4927709400653839},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4886487126350403},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.45373740792274475},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.4493083953857422},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4305214285850525},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.410671591758728},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.41001346707344055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3941711187362671},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.25275546312332153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13858148455619812},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13648176193237305},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-2046","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-2046","pdf_url":"https://www.aclweb.org/anthology/P19-2046.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-2046","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-2046","pdf_url":"https://www.aclweb.org/anthology/P19-2046.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.47999998927116394,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949292845.pdf","grobid_xml":"https://content.openalex.org/works/W2949292845.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1854154906","https://openalex.org/W2045187328","https://openalex.org/W2098162425","https://openalex.org/W2116209939","https://openalex.org/W2153579005","https://openalex.org/W2158899491","https://openalex.org/W2159021374","https://openalex.org/W2250886571","https://openalex.org/W2251162459","https://openalex.org/W2251697431","https://openalex.org/W2251998780","https://openalex.org/W2252083640","https://openalex.org/W2252227520","https://openalex.org/W2296438605","https://openalex.org/W2511832088","https://openalex.org/W2735665712","https://openalex.org/W2776681159","https://openalex.org/W2950938254","https://openalex.org/W2952230511","https://openalex.org/W3102772997","https://openalex.org/W3122563224","https://openalex.org/W3125952890","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W3135818718","https://openalex.org/W1975921967","https://openalex.org/W3091976719","https://openalex.org/W2380117473","https://openalex.org/W3012393889","https://openalex.org/W3021430260","https://openalex.org/W4297795319","https://openalex.org/W1591341683","https://openalex.org/W3091324991","https://openalex.org/W2949267551"],"abstract_inverted_index":{"Forecasting":[0],"financial":[1],"volatility":[2,103],"of":[3,64,71,76],"a":[4,16,23,79],"publiclytraded":[5],"company":[6],"from":[7],"its":[8],"annual":[9,30,77],"reports":[10,31],"has":[11],"been":[12],"previously":[13],"defined":[14],"as":[15],"text":[17],"regression":[18],"problem.":[19],"Recent":[20],"studies":[21],"use":[22],"manually":[24],"labeled":[25],"lexicon":[26,42,106],"to":[27,39],"filter":[28],"the":[29,41,46,62,67,95],"by":[32,54],"keeping":[33],"sentiment":[34],"words":[35],"only.":[36],"In":[37],"order":[38],"remove":[40],"dependency":[43],"without":[44],"decreasing":[45],"performance,":[47],"we":[48],"replace":[49],"bag-of-words":[50],"model":[51,83,99],"word":[52,55,59],"features":[53],"embedding":[56],"vectors.":[57],"Using":[58],"vectors":[60],"increases":[61],"number":[63,70],"parameters.":[65],"Considering":[66],"increase":[68],"in":[69],"parameters":[72],"and":[73,86],"excessive":[74],"lengths":[75],"reports,":[78],"convolutional":[80,96],"neural":[81,97],"network":[82,98],"is":[84,89],"proposed":[85],"transfer":[87],"learning":[88],"applied.":[90],"Experimental":[91],"results":[92],"show":[93],"that":[94],"provides":[100],"more":[101],"accurate":[102],"predictions":[104],"than":[105],"based":[107],"models.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-02-02T03:55:41.653505","created_date":"2025-10-10T00:00:00"}