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Smile, Be Happy :) Emoji Embedding for Visual Sentiment Analysis
- Source :
- ICCV Workshops
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- Due to the lack of large-scale datasets, the prevailing approach in visual sentiment analysis is to leverage models trained for object classification in large datasets like ImageNet. However, objects are sentiment neutral which hinders the expected gain of transfer learning for such tasks. In this work, we propose to overcome this problem by learning a novel sentiment-aligned image embedding that is better suited for subsequent visual sentiment analysis. Our embedding leverages the intricate relation between emojis and images in large-scale and readily available data from social media. Emojis are language-agnostic, consistent, and carry a clear sentiment signal which make them an excellent proxy to learn a sentiment aligned embedding. Hence, we construct a novel dataset of 4 million images collected from Twitter with their associated emojis. We train a deep neural model for image embedding using emoji prediction task as a proxy. Our evaluation demonstrates that the proposed embedding outperforms the popular object-based counterpart consistently across several sentiment analysis benchmarks. Furthermore, without bell and whistles, our compact, effective and simple embedding outperforms the more elaborate and customized state-of-the-art deep models on these public benchmarks. Additionally, we introduce a novel emoji representation based on their visual emotional response which supports a deeper understanding of the emoji modality and their usage on social media.<br />Comment: International Conference on Computer Vision (ICCV 2019) Workshops. Project page and the Visual Smiley Dataset: https://www.cs.utexas.edu/~ziad/emoji_visual_sentiment.html
- Subjects :
- FOS: Computer and information sciences
Contextual image classification
Emoji
Computer science
business.industry
Computer Vision and Pattern Recognition (cs.CV)
Emotion classification
Sentiment analysis
Computer Science - Computer Vision and Pattern Recognition
020206 networking & telecommunications
02 engineering and technology
Machine learning
computer.software_genre
Data visualization
0202 electrical engineering, electronic engineering, information engineering
Embedding
020201 artificial intelligence & image processing
Artificial intelligence
business
Transfer of learning
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
- Accession number :
- edsair.doi.dedup.....04df445ae1ab7ee6af8bbc4f326123ba