Fine-grained Kinship Detection for Facebook Users based on Wall Contents
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Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper investigates whether it is possible to automatically detect fine-grained kinship (not to detect its existence but to detect the type of kinship like child, father, grandfather, and so on) between two Facebook users or not. To do so, we present and employ a lexicon-based approach that completely depends on the wall contents of users. To the best of our knowledge, this is the first study towards kinship detection for both the type of input data (i.e., free OSN text) and the language (i.e., Turkish). We perform our experiments on a crawled snapshot of public Facebook data collected from accounts of users in Turkey. Our results are promising and show that a content-based approach can be a good starting point for future works even though it has some challenges. © 2021 IEEE.
Açıklama
IEEE SMC Society; IEEE Turkey Section
2021 Innovations in Intelligent Systems and Applications Conference, ASYU 2021 -- 6 October 2021 through 8 October 2021 -- Elazig -- 174400
2021 Innovations in Intelligent Systems and Applications Conference, ASYU 2021 -- 6 October 2021 through 8 October 2021 -- Elazig -- 174400
Anahtar Kelimeler
Facebook, kinship detection, Social networks
Kaynak
Proceedings - 2021 Innovations in Intelligent Systems and Applications Conference, ASYU 2021
