Reproducibility Companion Paper: Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN
- Quoc-Tuan Truong,
- Hady W Lauw,
- ,
- Naoko Nitta
- Singapore Management University,
- ,
- Osaka Medical and Pharmaceutical University
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review
Open access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 4444-4447Publication milestones
- Published - 2020
Publication status
Published - 2020
Publisher
Association for Computing Machinery, United StatesPublication IDs
- Scopus: 85106903862
Host publication title
MM '20: Proceedings of the 28th ACM International Conference on MultimediaAbstract
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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International Conference on Multimedia