{"id":"https://openalex.org/W7127093138","doi":"https://doi.org/10.1051/shsconf/202521602002/pdf","title":"Computational Linguistics Applications in AI-Based Investment and Cost Structuring Models","display_name":"Computational Linguistics Applications in AI-Based Investment and Cost Structuring Models","publication_year":2025,"publication_date":"2025-05-23","ids":{"openalex":"https://openalex.org/W7127093138","doi":"https://doi.org/10.1051/shsconf/202521602002/pdf"},"language":"en","primary_location":{"id":"pmh:oai:edpsciences.org:dkey/10.1051/shsconf/202521602002","doi":"https://doi.org/10.1051/shsconf/202521602002/pdf","is_oa":false,"landing_page_url":"https://www.shs-conferences.org/10.1051/shsconf/202521602002/pdf","pdf_url":"https://www.shs-conferences.org/10.1051/shsconf/202521602002/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/shsconf/202521602002","raw_type":"Text"},"volume":null,"type":"article","indexed_in":[],"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/A5124828224","display_name":"Dilafruz Taxirovna Miraliyeva","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dilafruz Miralieva","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117643899","display_name":"Jumaniyoz Ramatov","orcid":"https://orcid.org/0000-0003-0257-6591","observed_orcids":["https://orcid.org/0000-0003-0257-6591"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jumaniyoz Ramatov","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001706397","display_name":"Lola Azimova","orcid":"https://orcid.org/0009-0009-7212-3433","observed_orcids":["https://orcid.org/0009-0009-7212-3433"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lola Azimova","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117643900","display_name":"Malika Khusamiddinova","orcid":"https://orcid.org/0000-0002-7818-5936","observed_orcids":["https://orcid.org/0000-0002-7818-5936"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Malika Khusamiddinova","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117643901","display_name":"Shahlo Alimbaeva","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shahlo Alimbaeva","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134264680","display_name":"Omonova Laylo Hasanovna","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laylo Omonova","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.63672391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.45750001072883606,"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":0.45750001072883606,"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":0.27709999680519104,"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/T13904","display_name":"Artificial Intelligence Applications","score":0.08990000188350677,"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/computational-linguistics","display_name":"computational linguistics","score":0.996999979019165},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"natural language processing","score":0.9330000281333923},{"id":"https://openalex.org/keywords/investment-modeling","display_name":"investment model","score":0.5559999942779541},{"id":"https://openalex.org/keywords/cost-forecasting","display_name":"cost prediction","score":0.8629999756813049},{"id":"https://openalex.org/keywords/financial-decision-making","display_name":"financial decision-making","score":0.7080000042915344},{"id":"https://openalex.org/keywords/financial-analysts","display_name":"financial analysts","score":0.7059999704360962},{"id":"https://openalex.org/keywords/semantic-analysis","display_name":"semantic analysis","score":0.6439999938011169},{"id":"https://openalex.org/keywords/syntactic-analysis","display_name":"syntactic analysis","score":0.847000002861023},{"id":"https://openalex.org/keywords/pragmatic-analysis","display_name":"pragmatic analysis","score":0.9670000076293945},{"id":"https://openalex.org/keywords/cost-transparency","display_name":"cost transparency","score":0.5830000042915344}],"concepts":[{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.7247999906539917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6607000231742859},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.506600022315979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49970000982284546},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4977000057697296},{"id":"https://openalex.org/C23925645","wikidata":"https://www.wikidata.org/wiki/Q5449731","display_name":"Financial modeling","level":2,"score":0.48590001463890076},{"id":"https://openalex.org/C146880194","wikidata":"https://www.wikidata.org/wiki/Q61715222","display_name":"Computational finance","level":2,"score":0.4553000032901764},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4401000142097473},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.43529999256134033},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.4345000088214874},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.43389999866485596},{"id":"https://openalex.org/C2778865806","wikidata":"https://www.wikidata.org/wiki/Q6060850","display_name":"Investment decisions","level":3,"score":0.4207000136375427},{"id":"https://openalex.org/C139043278","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial services","level":2,"score":0.4018000066280365},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3612000048160553},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.35269999504089355},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C76073288","wikidata":"https://www.wikidata.org/wiki/Q1337875","display_name":"Financial risk","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.2964000105857849},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C540431452","wikidata":"https://www.wikidata.org/wiki/Q16319025","display_name":"FinTech","level":3,"score":0.271699994802475},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C70179600","wikidata":"https://www.wikidata.org/wiki/Q1416547","display_name":"Financial plan","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2630000114440918},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.26010000705718994},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C2778828372","wikidata":"https://www.wikidata.org/wiki/Q5283209","display_name":"Distributional semantics","level":3,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:edpsciences.org:dkey/10.1051/shsconf/202521602002","doi":"https://doi.org/10.1051/shsconf/202521602002/pdf","is_oa":false,"landing_page_url":"https://www.shs-conferences.org/10.1051/shsconf/202521602002/pdf","pdf_url":"https://www.shs-conferences.org/10.1051/shsconf/202521602002/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/shsconf/202521602002","raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"is":[2,8,109],"an":[3],"influential":[4],"technological":[5],"paradigm":[6],"that":[7,91],"quickly":[9],"and":[10,24,31,58,75,80,84,96,116,145,151,165,199,209],"comprehensively":[11],"transforming":[12],"financial":[13,62,114,137,149,169,211],"decision-making":[14],"systems":[15],"worldwide.":[16],"This":[17,160,188],"study":[18],"aims":[19],"to":[20,32,131,167,174],"focus":[21],"on":[22,44,103,202],"computational":[23,28,163],"economic":[25],"implications":[26],"of":[27,53,61,72,134,148,184],"linguistics":[29,108,140],"techniques":[30],"enrich":[33],"the":[34,50,59,126,132],"existing":[35],"literature":[36],"in":[37,64,112,156],"AI-driven":[38],"investment":[39,104,158,207],"modeling.":[40],"Empirically,":[41],"we":[42],"draw":[43],"a":[45],"cross-sectional":[46],"research":[47,127,190],"project,":[48],"assessing":[49],"predictive":[51],"power":[52],"linguistic":[54],"data":[55],"processing":[56,94],"algorithms":[57],"experiences":[60],"analysts":[63,170],"cost":[65,118,153,205],"structuring":[66],"contexts.":[67],"A":[68],"regression-based":[69],"model":[70],"consisting":[71],"semantic,":[73],"syntactic,":[74],"pragmatic":[76],"dimensions":[77],"was":[78],"created":[79],"estimated":[81],"through":[82,121],"correlation":[83],"multivariate":[85],"regression":[86],"analysis.":[87],"The":[88],"findings":[89],"indicate":[90],"natural":[92],"language":[93],"efficiency":[95],"machine":[97],"learning":[98],"advancements":[99],"have":[100],"significant":[101],"impacts":[102],"planning":[105],"accuracy.":[106],"Computational":[107],"deeply":[110],"embedded":[111],"algorithmic":[113],"models":[115],"reshapes":[117],"forecasting":[119],"frameworks":[120],"data-driven":[122],"semantic":[123,203],"interpretation.":[124],"Closing":[125],"gaps":[128],"would":[129],"contribute":[130],"development":[133],"much-needed":[135],"intelligent":[136],"infrastructures.":[138],"AI-enabled":[139],"modeling":[141,186],"promotes":[142],"scalable":[143],"optimization":[144],"context-aware":[146],"applications":[147],"analytics,":[150],"realizes":[152],"transparency":[154],"improvements":[155],"automated":[157,210],"systems.":[159,212],"paper":[161],"offers":[162],"insights":[164],"reflections":[166],"provide":[168],"with":[171],"key":[172],"information":[173],"best":[175],"apply":[176],"linguistically":[177],"driven":[178],"AI":[179],"tools":[180],"while":[181],"being":[182],"aware":[183],"contextual":[185],"constraints.":[187],"future":[189,196],"agenda":[191],"provides":[192],"ample":[193],"scope":[194],"for":[195],"empirical":[197],"investigation":[198],"interdisciplinary":[200],"science":[201],"modeling,":[204],"structuring,":[206],"forecasting,":[208]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2026-02-03T00:00:00"}
