Toxic Comment Classification Challenge | Kaggle
https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge
-
singel layer CNN
-
multi-channel CNN
-
DPCNN
-
textCNN
-
textRCNN
-
bi-LSTM
-
bi-GRU
(ToDO:XGBoost, NB-SVM, Logistic regression -> refer to public kernels)
-
average
-
weighted average
-
geomean
-
rank averaging
-
blending
-
http://ruder.io/deep-learning-nlp-best-practices/index.html#lstmtricks
-
https://github.com/neptune-ml/kaggle-toxic-starter/tree/master/best_configs
-
https://becominghuman.ai/understanding-and-coding-inception-module-in-keras-eb56e9056b4b
These are testing codes. There may be incompatibel errors in iPython notebook due to frequent changes on Python files.
- No.1: https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/52557
- No.2: https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/52612
- No.5: https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/52630
- No.25: https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/52647
- No.34: https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/52645
- single model: https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/52644