Reproducibility Companion Paper: Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN

Truong, Lauw, Martin Aumüller, Nitta

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Abstrakt

We revisit our contributions on visual sentiment analysis for online review images published at ACM Multimedia 2017, where we develop item-oriented and user-oriented convolutional neural networks that better capture the interaction of image features with specific expressions of users or items. In this work, we outline the experimental claims as well as describe the procedures to reproduce the results therein. In addition, we provide artifacts including data sets and code to replicate the experiments.
OriginalsprogEngelsk
TitelMM '20: Proceedings of the 28th ACM International Conference on Multimedia
ForlagAssociation for Computing Machinery
Publikationsdato2020
Sider4444-4447
DOI
StatusUdgivet - 2020
BegivenhedInternational Conference on Multimedia -
Varighed: 12 okt. 2020 → …
Konferencens nummer: 28

Konference

KonferenceInternational Conference on Multimedia
Nummer28
Periode12/10/2020 → …

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