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

Truong, Lauw, Martin Aumüller, Nitta

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationMM '20: Proceedings of the 28th ACM International Conference on Multimedia
PublisherAssociation for Computing Machinery
Publication date2020
Pages4444-4447
DOIs
Publication statusPublished - 2020
EventInternational Conference on Multimedia -
Duration: 12 Oct 2020 → …
Conference number: 28

Conference

ConferenceInternational Conference on Multimedia
Number28
Period12/10/2020 → …

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