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Evalvacija avtomatskega razvrščanja člankov v programu za analizo poslovanja podjetij : diplomski seminarKlobučar, UrškaNamen naloge je predstaviti delovanje sistema PredictLeads in opredeliti različne tipe problemov, na katere naletimo pri procesiranju naravnega jezika - konkretneje pri določanju sekundarnih polj. ... Sekundarna polja so stavčne entitete, ki predstavljajo v našem specifičnem imenu datume, lokacije, delovna mesta, konference, itn. Za določanje sekundarnih polj pri odnosih se uporabljajo algoritmi ali t. i. poti, nastavljene s pomočjo procesa procesiranja naravnega jezika. Potreba po raziskavi izhaja iz prakse, in sicer iz vedno večjih potreb po čim bolj natančnih informacijah. Raziskava je potekala s pregledovanjem stavkov v vmesniku sistema PredictLeads. Strojno učenje ima številne podobnosti s človeškim učenjem, le da je pri prvem učenec naprava. Pri nadzorovanem učenju ima vsak posamezni učni podatek tudi pripadajoč pričakovan rezultat, zato učenje poteka ločeno za vsak učni vzorec posebej. S strojnim učenjem ljudje pridobivamo nova spoznanja, saj so razmere ponovljive in s spremembo parametrov lahko ugotavljamo njihov vpliv na učni rezultat. Strojno učenje je smiselno v primerih, kadar za določeno delo ne znamo zapisati pravil drugače, kot z množico primerov. Ključna ugotovitev raziskave je pomen dovolj velike in raznolike baze primerov za čim boljše in bolj učinkovito delovanje sistemov, ki uporabljajo strojno učenje. Kakovostni podatki so ključni za kvalitetno učenje sistema. Pomanjkljivosti bodisi v delovanju algoritmov, bodisi v natančnosti in neusklajenosti dela ljudi, namreč vplivajo na kakovost podatkov in učenje ter končni rezultat.Type of material - undergraduate thesis ; adult, seriousPublication and manufacture - Ljubljana : [U. Klobučar], 2017Language - slovenianCOBISS.SI-ID - 65388130
Author
Klobučar, Urška
Other authors
Žumer, Maja, 1953-
Topics
strojno učenje |
nadzorovano učenje |
procesiranje naravnega jezika |
PredictLeads |
bolonjske diplomske naloge |
bolonjske diplomske naloge
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Library/institution |
City | Acronym | For loan | Other holdings |
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Faculty of Arts, Central Humanities Library, Lj. | Ljubljana | FFLJ |
reading room 2 cop.
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Klobučar, Urška | ![]() |
Žumer, Maja, 1953- | 08983 |
Source: Personal bibliographies
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