https://github.com/bagustris/isst_2019
Repository for text emotion recognition submitted to ISST 2019
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.9%) to scientific vocabulary
Keywords
Repository
Repository for text emotion recognition submitted to ISST 2019
Basic Info
Statistics
- Stars: 4
- Watchers: 1
- Forks: 3
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
readme.md
Repository for ISST 2019
Deep learning-based categorical and dimensional text emotion recognition
Layers (for both regression and classification):
- Embedding
- GRU
- GRU
- Dense
- Dense
Open each python file for details.
If you use this code, please cite,
B.T. Atmaja, Kiyoaki Shirai, Masato Akagi."Deep Learning-based Categorical and
Dimensional Emotion Recognition for Written and Spoken Texts." Int. Seminar
on Science and Technology, Surabaya. (2019).
Owner
- Name: Bagus Tris Atmaja
- Login: bagustris
- Kind: user
- Location: Tsukuba
- Company: AIST
- Website: http://www.bagustris.blogspot.com
- Twitter: btatmaja
- Repositories: 221
- Profile: https://github.com/bagustris
Researcher @aistairc @VibrasticLab
GitHub Events
Total
Last Year
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Bagus Tris Atmaja | b****s@y****m | 10 |
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 2
- Total pull requests: 0
- Average time to close issues: 3 days
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 2.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- FriedaSmith (1)