https://github.com/epfml/semeval2016
Code for SemEval-2016 winning classifier "SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision"
https://github.com/epfml/semeval2016
Last synced: about 1 year ago
JSON representation
Code for SemEval-2016 winning classifier "SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision"
- Host: GitHub
- URL: https://github.com/epfml/semeval2016
- Owner: epfml
- Created: 2017-11-23T07:53:45.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-11-23T09:10:21.000Z (over 8 years ago)
- Last Synced: 2025-01-02T14:28:35.808Z (about 1 year ago)
- Size: 1.95 KB
- Stars: 0
- Watchers: 5
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# SwissCheese at SemEval-2016
This is just a navigation point, in case you are searching for code as well as pre-trained models for our SemEval-2016 winning classifier in text sentiment on tweets, as in
```
@inproceedings{deriu2016cheese,
title={SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision.},
author={Deriu, Jan and Gonzenbach, Maurice and Uzdilli, Fatih and Lucchi, Aurelien and De Luca, Valeria and Jaggi, Martin},
booktitle={SemEval 2016 - Proceedings of the 10th International Workshop on Semantic Evaluation. NAACL-HLT},
pages={1124--1128},
year={2016}
}
```
Code and models are available here on https://github.com/spinningbytes/deep-mlsa . Note this is only a single classifier and not exactly identical to the ensemble used in the final SemEval competition submission. (CNN architecture with word vectors being adjusted during the supervised training phases).
Pretrained models are also provided for additional languages (English, French, German and Italian). For the code and method description refer to the following paper:
```
@inproceedings{deriu2017leveraging,
title={Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification},
author={Deriu, Jan and Lucchi, Aurelien and De Luca, Valeria and Severyn, Aliaksei and M{\"u}ller, Simon and Cieliebak, Mark and Hofmann, Thomas and Jaggi, Martin},
booktitle={WWW 2017 - Proceedings of the 26th International Conference on World Wide Web},
pages={1045--1052},
year={2017}
}
```