{"id":"https://openalex.org/W4387524441","doi":"https://doi.org/10.15439/2023f3725","title":"An Evaluation of a Zero-Shot Approach to Aspect-Based Sentiment Classification in Historic German Stock Market Reports","display_name":"An Evaluation of a Zero-Shot Approach to Aspect-Based Sentiment Classification in Historic German Stock Market Reports","publication_year":2023,"publication_date":"2023-10-11","ids":{"openalex":"https://openalex.org/W4387524441","doi":"https://doi.org/10.15439/2023f3725"},"language":"en","primary_location":{"id":"doi:10.15439/2023f3725","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2023f3725","pdf_url":"https://annals-csis.org/proceedings/2023/drp/pdf/3725.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/proceedings/2023/drp/pdf/3725.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034005630","display_name":"Janos Borst","orcid":"https://orcid.org/0000-0002-9166-4069"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Janos Borst","raw_affiliation_strings":["Leipzig University,"],"affiliations":[{"raw_affiliation_string":"Leipzig University,","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013543850","display_name":"Lino Wehrheim","orcid":"https://orcid.org/0000-0001-9269-8116"},"institutions":[{"id":"https://openalex.org/I60668342","display_name":"University of Regensburg","ror":"https://ror.org/01eezs655","country_code":"DE","type":"education","lineage":["https://openalex.org/I60668342"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lino Wehrheim","raw_affiliation_strings":["University of Regensburg,"],"affiliations":[{"raw_affiliation_string":"University of Regensburg,","institution_ids":["https://openalex.org/I60668342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058667349","display_name":"Andreas Niekler","orcid":"https://orcid.org/0000-0002-3036-3318"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Niekler","raw_affiliation_strings":["Leipzig University,"],"affiliations":[{"raw_affiliation_string":"Leipzig University,","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074720526","display_name":"Manuel Burghardt","orcid":"https://orcid.org/0000-0003-1354-9089"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Manuel Burghardt","raw_affiliation_strings":["Leipzig University,"],"affiliations":[{"raw_affiliation_string":"Leipzig University,","institution_ids":["https://openalex.org/I926574661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013543850"],"corresponding_institution_ids":["https://openalex.org/I60668342"],"apc_list":null,"apc_paid":null,"fwci":3.1154,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92307692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"37","issue":null,"first_page":"51","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9517999887466431,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9517999887466431,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9156000018119812,"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":0.9032999873161316,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.7549389600753784},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6377570629119873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5822646617889404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.535883367061615},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.4841771423816681},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.45038604736328125},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4326237142086029},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.4215913712978363},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19018834829330444},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.15329867601394653}],"concepts":[{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.7549389600753784},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6377570629119873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5822646617889404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.535883367061615},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.4841771423816681},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.45038604736328125},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4326237142086029},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.4215913712978363},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19018834829330444},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.15329867601394653},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.15439/2023f3725","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2023f3725","pdf_url":"https://annals-csis.org/proceedings/2023/drp/pdf/3725.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:f242da9751924af49c582a490e81789a","is_oa":true,"landing_page_url":"https://doaj.org/article/f242da9751924af49c582a490e81789a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annals of computer science and information systems, Vol 37, Pp 51-60 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.15439/2023f3725","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2023f3725","pdf_url":"https://annals-csis.org/proceedings/2023/drp/pdf/3725.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.47999998927116394,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3394875696","display_name":null,"funder_award_id":"BU 3502/1-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387524441.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1546425147","https://openalex.org/W2098667769","https://openalex.org/W2107615464","https://openalex.org/W2168493061","https://openalex.org/W2489487449","https://openalex.org/W2554619162","https://openalex.org/W2596142952","https://openalex.org/W2883222227","https://openalex.org/W2906871406","https://openalex.org/W2950813464","https://openalex.org/W2963026768","https://openalex.org/W2963341956","https://openalex.org/W2963532621","https://openalex.org/W2964332570","https://openalex.org/W2969275122","https://openalex.org/W2970200208","https://openalex.org/W2970597249","https://openalex.org/W2980282514","https://openalex.org/W3013445639","https://openalex.org/W3030163527","https://openalex.org/W3031755794","https://openalex.org/W3034942609","https://openalex.org/W3035562414","https://openalex.org/W3043424630","https://openalex.org/W3102449459","https://openalex.org/W3115467802","https://openalex.org/W3115913034","https://openalex.org/W3128553165","https://openalex.org/W3173706378","https://openalex.org/W3174672330","https://openalex.org/W3180335758","https://openalex.org/W3196692796","https://openalex.org/W3216866458","https://openalex.org/W4225646901","https://openalex.org/W4225916008","https://openalex.org/W4281726826","https://openalex.org/W4283382419","https://openalex.org/W4287101239","https://openalex.org/W4292779060","https://openalex.org/W4293528099","https://openalex.org/W4312908198","https://openalex.org/W4319153477","https://openalex.org/W4324000812","https://openalex.org/W4383184440","https://openalex.org/W4386566763","https://openalex.org/W6734394377","https://openalex.org/W6943819758"],"related_works":["https://openalex.org/W4214877189","https://openalex.org/W2074502265","https://openalex.org/W2065387230","https://openalex.org/W2323937687","https://openalex.org/W648995381","https://openalex.org/W3033791384","https://openalex.org/W2141885522","https://openalex.org/W2776312268","https://openalex.org/W4246315097","https://openalex.org/W2975591548"],"abstract_inverted_index":{"One":[0],"critical":[1],"aspect":[2],"that":[3],"remains":[4,195],"in":[5,15,78,131,223],"the":[6,19,36,46,62,86,116,126,135,154,164,171,176,179,182,192,201,213],"application":[7],"of":[8,39,48,74,88,94,104,118,133,137,146,178,200],"state-of-the-art":[9],"neural":[10],"networks":[11],"to":[12,45,55,84,113,188],"text":[13,50,108,120],"analysis":[14,73,77,143,162,199],"applied":[16],"research":[17],"is":[18,30],"continued":[20],"requirement":[21],"for":[22,61,125,142],"manual":[23],"data":[24,37,138],"annotation.In":[25],"computer":[26],"science":[27],"research,":[28],"there":[29],"a":[31,92,95,99,150,186,197],"strong":[32,151],"focus":[33],"on":[34],"maximizing":[35],"efficiency":[38],"fine-tuning":[40,60],"language":[41],"models.This":[42,110],"has":[43],"led":[44],"development":[47],"zero-shot":[49,96,119,165,180,183,221],"classification":[51,109,121],"methods,":[52],"which":[53],"promise":[54],"work":[56],"effectively":[57],"without":[58],"requiring":[59],"specific":[63],"task":[64],"at":[65],"hand.In":[66],"this":[67,89],"paper,":[68],"we":[69,209],"conduct":[70],"an":[71],"in-depth":[72],"aspect-based":[75,160],"sentiment":[76,155,161],"historic":[79],"German":[80],"stock":[81],"market":[82],"reports":[83],"evaluate":[85],"reliability":[87,117],"promise.We":[90],"present":[91],"comparison":[93],"approach":[97,166],"with":[98,219],"meticulously":[100],"fine-tuned":[101,172],"three-step":[102],"process":[103],"training":[105,141],"and":[106,122,140,167,211,215],"applying":[107],"study":[111,148],"aims":[112],"empirically":[114],"assess":[115],"provide":[123],"justification":[124],"potential":[127],"benefits":[128],"it":[129],"offers":[130],"terms":[132],"reducing":[134],"burden":[136],"labeling":[139],"purposes.The":[144],"findings":[145],"our":[147],"demonstrate":[149],"correlation":[152],"between":[153],"time":[156],"series":[157],"generated":[158],"through":[159],"using":[163],"those":[168],"derived":[169],"from":[170],"supervised":[173],"pipeline,":[174],"validating":[175],"viability":[177],"approach.While":[181],"pipeline":[184],"exhibits":[185],"tendency":[187],"underestimate":[189],"negative":[190],"examples,":[191],"overall":[193],"trend":[194],"discernible.Additionally,":[196],"qualitative":[198],"linguistic":[202],"patterns":[203],"reveals":[204],"no":[205],"explicit":[206],"error":[207],"patterns.Nevertheless,":[208],"acknowledge":[210],"discuss":[212],"practical":[214],"epistemological":[216],"obstacles":[217],"associated":[218],"employing":[220],"algorithms":[222],"untested":[224],"domains.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
