Visual sentiment analysis for review images with item-oriented and user-oriented CNN: Reproducibility companion paper

• Main Authors: TRUONG, Quoc Tuan, LAUW, Hady W., AUMULLER, Martin, NITTA, Naoko
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: visual sentiment analysis; convolutional neural networks; Databases and Information Systems; Data Science
• Online Access: https://ink.library.smu.edu.sg/sis_research/5955; https://ink.library.smu.edu.sg/context/sis_research/article/6958/viewcontent/acmmm20.pdf
• Institution: Singapore Management University

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.