Pregled bibliografske jedinice broj: 1009174
Using Convolutional Neural Networks for Emoticon Classification
Using Convolutional Neural Networks for Emoticon Classification // Mipro 2019 Proceedings
Rijeka, 2019. str. 1877-1881 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), stručni)
CROSBI ID: 1009174 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Using Convolutional Neural Networks for Emoticon Classification
Autori
Burnik, Kristijan ; Bjelobrk Knežević, Dunja
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), stručni
Izvornik
Mipro 2019 Proceedings
/ - Rijeka, 2019, 1877-1881
Skup
42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2019)
Mjesto i datum
Opatija, Hrvatska, 20.05.2019. - 24.05.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
CNN ; Convolutional Neural Networks ; ANN ; Emoticons ; image recognition
Sažetak
The problem of automatic classification of photographs, graphics and spatial data is more and more commonly addressed using advanced machine learning methods and related models like Convolutional Artificial Neural Networks (CANN). In the scope of this work, we conducted a study of application of the CANN to an example of emoticon classification. In this paper, chosen methods are described and solutions for data collection and processing, training and evaluation of the model are offered. The presented results show successful application of the model.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
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