SOSYAL AĞLARDA METİN VE GÖRÜNTÜ TABANLI ANLAMSAL ÇIKARIM YÖNTEMLERİNİN İNCELENMESİ
Due to the fact that social networks are becoming more and more popular, many users are continuously active social networking users. Active users are constantly sharing what they see and think. Social network users follow the people they are interested in, comment on their messages and forward them...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Eskişehir Osmangazi University
2020-12-01
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Series: | Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi |
Subjects: | |
Online Access: | https://dergipark.org.tr/en/download/article-file/1167835 |
Summary: | Due to the fact that social networks are becoming more and more popular, many users are continuously active social networking users. Active users are constantly sharing what they see and think. Social network users follow the people they are interested in, comment on their messages and forward them to other people. In this way, there is a huge amount of data generated by users on social networks. Besides; in addition to textual sharing, image and video sharing are also available through mobile phones with a camera. In this study, text and image-based semantic inference methods in social networks were investigated. The advantages of different semantic inference methods are emphasized. Finally, information was given on what can be done in this area in the future. |
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ISSN: | 2630-5712 2630-5712 |