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

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

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 th...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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