A Query Evaluation Approach using Opinions of Turkish Financial Market Professionals

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dc.authoridKarasulu, Bahadir/0000-0001-8524-874X
dc.contributor.authorUgurlu, Bora
dc.contributor.authorYenisari, Esma
dc.contributor.authorKarasulu, Bahadir
dc.contributor.authorAyan, Ozcan Zafer
dc.date.accessioned2025-01-27T21:22:08Z
dc.date.available2025-01-27T21:22:08Z
dc.date.issued2015
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractPeople who do not have expertise in the financial area may not see the relationship between the numerical and linguistic data. In our study, a knowledge discovery approach using Turkish natural language processing is recommended in order to respond to meaningful queries and classify them with high accuracy. Query corpus consists of randomly selected unique keywords. Quantitative evaluation is done in order to measure the classification performance. Experimental results indicate that our proposed approach is sufficiently consistent with and able to make categorical classifications correctly. The approach highlights the relationship between numerical and linguistic data obtained from Turkish financial market.
dc.identifier.endpage305
dc.identifier.issn2217-8309
dc.identifier.issn2217-8333
dc.identifier.issue3
dc.identifier.startpage301
dc.identifier.urihttps://hdl.handle.net/20.500.12428/29166
dc.identifier.volume4
dc.identifier.wosWOS:000375954000012
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherAssoc Information Communication Technology Education & Science
dc.relation.ispartofTem Journal-Technology Education Management Informatics
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectWeb 2.0
dc.subjectknowledge discovery
dc.subjectfinancial market
dc.subjectTwitter
dc.subjectreally simple syndication
dc.titleA Query Evaluation Approach using Opinions of Turkish Financial Market Professionals
dc.typeArticle

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