# CCF_BDCI_2019_datafountain350
CCF BDCI 2019 互联网新闻情感分析 复赛top8 代码
开源方案见知乎：https://zhuanlan.zhihu.com/p/101554661
基于python的CCFBDCI 2019互联网新闻情感分析源码+项目说明（复赛top8）.zip
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2024-01-16
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基于python的CCFBDCI 2019互联网新闻情感分析源码+项目说明（复赛top8）.zip （173个子文件） 
test.csv 24.67MB Second_TestDataSet.csv 24.62MB Second_DataSet.csv 24.51MB Test_DataSet.csv 24.46MB Test_DataSet.csv 24.46MB Test_DataSet.csv 24.46MB Test_DataSet.csv 24.46MB Train_DataSet.csv 24.34MB Train_DataSet.csv 24.34MB Train_DataSet.csv 24.34MB Train_DataSet.csv 24.34MB train_en.csv 24.33MB meta_feature_test.csv 2.35MB meta_feature_train.csv 1.99MB meta_feature_test.csv 1.01MB allmodel_predicted_Dev.csv 881KB Second_DataSet_Label.csv 259KB submit_example.csv 259KB submit_example.csv 259KB Train_DataSet_Label.csv 259KB Train_DataSet_Label.csv 259KB Train_DataSet_Label.csv 259KB Train_DataSet_Label.csv 259KB 11_18_1.csv 251KB stacking_10fold_7models_lgb_0.8143492734347565_.csv 251KB stacking_10fold_7models_lr_0.8290169849372911_new.csv 251KB stacking_10fold_7models_gbdt_0.8273251428091837_.csv 251KB 4f5be342-b421-46e9-bee9-55c450c291a3.csv 251KB stacking_10fold_7models_lr_0.8283168318475269_new.csv 251KB stacking_10fold_7models_lgb_0.8097805729163895_.csv 251KB stacking_10fold_7models_lr_0.8290169849372911_.csv 251KB stacking_10fold_7models_rf_0.8216451221040332_.csv 251KB stacking_10fold_7models_svm_0.8244140600185759_.csv 251KB stacking_10fold_7models_bagging_0.8244140600185759_.csv 251KB stacking_10fold_7models_rf_0.8078107825596356_.csv 251KB meta_feature_train_label.csv 14KB Dev_label.csv 14KB Untitled.ipynb 1.25MB Untitled-checkpoint.ipynb 106KB Untitled.ipynb 17KB Untitled.ipynb 10KB Untitled-checkpoint.ipynb 72B TODO.md 4KB README.md 155B readme.md 0B readme.md 0B test_sentencepiece.model 247KB modeling_bert.py 71KB modeling_xlnet.py 64KB modeling_transfo_xl.py 58KB modeling_utils.py 47KB modeling_xlm.py 44KB modeling_gpt2.py 36KB modeling_openai.py 34KB tokenization_utils.py 32KB run_bert.py 28KB run_xlnet.py 28KB modeling_common_test.py 26KB tokenization_transfo_xl.py 21KB tokenization_bert.py 20KB modeling_roberta.py 18KB modeling_auto.py 15KB modeling_bert_test.py 14KB modeling_xlnet_test.py 14KB modeling_transfo_xl_utilities.py 13KB modeling_xlm_test.py 12KB tokenization_xlm.py 11KB modeling_roberta_test.py 10KB file_utils.py 9KB convert_roberta_checkpoint_to_pytorch.py 9KB optimization.py 8KB modeling_transfo_xl_test.py 8KB tokenization_gpt2.py 8KB tokenization_roberta.py 8KB tokenization_xlnet.py 8KB tokenization_openai.py 7KB __main__.py 7KB optimization_test.py 6KB tokenization_tests_commons.py 6KB tokenization_auto.py 6KB convert_transfo_xl_checkpoint_to_pytorch.py 5KB tokenization_bert_test.py 5KB tokenization_xlnet_test.py 5KB convert_xlnet_checkpoint_to_pytorch.py 5KB convert_pytorch_checkpoint_to_tf.py 4KB ensemble_stacking_preprocess.py 4KB combine.py 4KB tokenization_roberta_test.py 4KB __init__.py 3KB extend_dataset.py 3KB convert_openai_checkpoint_to_pytorch.py 3KB tokenization_xlm_test.py 3KB convert_gpt2_checkpoint_to_pytorch.py 3KB convert_xlm_checkpoint_to_pytorch.py 3KB convert_tf_checkpoint_to_pytorch.py 3KB ensemble_stacking_multiseed_lgb.py 3KB tokenization_transfo_xl_test.py 3KB tokenization_gpt2_test.py 3KB tokenization_openai_test.py 3KB convert_tf_checkpoint_to_pytorch.py 3KB共 173 条
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