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pro vyhledávání: '"K Dilek"'
Autor:
K. Dilek TANKIZ, Uğur ÖZHAN
Publikováno v:
İnönü Üniversitesi Eğitim Fakültesi Dergisi. 24:670-687
Instagram ülkemizde gençler arasında en çok kullanılan sosyal ağ uygulamasıdır. İnstagram kullanıcıları gün içerisinde önemli bir süreyi intagram kullanarak geçirmektedirler. Kimi instagram kullanıcıları instagrama karşı bağım
Autor:
K. Dilek TANKIZ, Hasan ARAPGİRLİOĞLU
Publikováno v:
İnönü Üniversitesi Kültür ve Sanat Dergisi.
Bu araştırma, İnönü Üniversitesi Eğitim Fakültesi Güzel Sanatlar Eğitimi Müzik Öğretmenliği Programına başvuran adayların, sosyo-demografik nitelikteki özellikleri ile yerleştirme puanları arasındaki ilişkiyi tespit etme amacın
Autor:
TANKIZ, K. Dilek, ARAPGİRLİOĞLU, Hasan
Publikováno v:
Volume: 8, Issue: 2 182-192
İnönü Üniversitesi Kültür ve Sanat Dergisi
İnönü Üniversitesi Kültür ve Sanat Dergisi
The purpose of this study; was to detect the relationship between the placement scores of the entrants of the talent examination of Inonu University, Faculty Of Education, Department Of Fine Arts, Music Teaching Programme and their socio-demographic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::7bceeab170af46392079aa79f9a7dae8
https://dergipark.org.tr/tr/pub/ijca/issue/74986/1212483
https://dergipark.org.tr/tr/pub/ijca/issue/74986/1212483
Autor:
K������k, Dilek
Energy research is of crucial public importance but the use of computer science technologies like automatic text processing and data management for the energy domain is still rare. Employing these technologies in the energy domain will be a significa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d237d3e80965b35fca0ab3540deb3fb5
Akademický článek
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Autor:
K������k, Dilek
Stance detection is commonly defined as the automatic process of determining the positions of text producers, towards a target. In this paper, we define a research problem closely related to stance detection, namely, stance quantification, for the fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20dc9e34c79c6563fa6b4dd3e07204ec
Autor:
K������k, Dilek
Social media texts differ from regular texts in various aspects. One of the main differences is the common use of informal name variants instead of well-formed named entities in social media compared to regular texts. These name variants may come in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6293cfdb21bace24d4724bec313c6a99
Autor:
K������k, Dilek, Can, Fazli
Annotated datasets in different domains are critical for many supervised learning-based solutions to related problems and for the evaluation of the proposed solutions. Topics in natural language processing (NLP) similarly require annotated datasets t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d097d889f5787c41e0b903276e19926
Autor:
K������k, Dilek, K������k, Do��an
Ontologies are critical sources of semantic information for many application domains. Hence, there are ontologies proposed and utilized for domains such as medicine, chemical engineering, and electrical energy. In this paper, we present an improved a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9499a161737700de6687339ccf973d20
Autor:
K������k, Dilek, Can, Fazli
Stance detection is a subproblem of sentiment analysis where the stance of the author of a piece of natural language text for a particular target (either explicitly stated in the text or not) is explored. The stance output is usually given as Favor,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1230d94701867271daf1eed4b3ca2c14