# machine-learning
机器学习课设互联网新闻情感分析
基于机器学习的互联网新闻情感分析算法源码+项目说明.zip
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2024-01-19
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基于机器学习的互联网新闻情感分析算法源码+项目说明.zip （101个子文件） 
Second_TestDataSet.csv 24.62MB Second_DataSet.csv 24.51MB Train_DataSet.csv 24.34MB submit_example.csv 259KB Second_DataSet_Label.csv 259KB Train_DataSet_Label.csv 251KB model004_roberta_wwm_large_512_1_last2embedding_cls.ipynb 313KB model006_roberta_wwm_large_5121_last3embedding.ipynb 311KB model011_roberta_wwm_large_512_1_last3embedding_cls.ipynb 309KB model010_roberta_wwm_large_512_1_last2embedding_cls_replacement.ipynb 297KB model012_roberta_wwm_large_512_1_last2embedding_cls_rep_pse.ipynb 297KB model007_roberta_wwm_large_5121_lstmgru.ipynb 272KB model001_roberta_wwm_large_5121_42.ipynb 216KB model005_roberta_wwm_large_5121_42_pse.ipynb 170KB model003_roberta_wwm_large_3002_gru1_42.ipynb 143KB 004-数据预处理（替换英文字符).ipynb 24KB model002_roberta_wwm_large_2562_gru1_42.ipynb 18KB 006-替换数据伪标签处理.ipynb 16KB 001_数据集合并.ipynb 13KB 005-原始数据伪标签处理.ipynb 10KB model009_roberta_wwm_large_2562_24.ipynb 6KB model008_roberta_wwm_large_512_1_last2embedding_cls_24.ipynb 5KB 003_原始数据分层抽样划分5折-随机种子24.ipynb 4KB 002_原始数据分层抽样划分5折.ipynb 4KB README.md 65B test_sentencepiece.model 247KB modeling_bert.py 111KB modeling_xlnet.py 64KB modeling_transfo_xl.py 58KB modeling_utils.py 48KB modeling_xlm.py 44KB modeling_gpt2.py 36KB modeling_openai.py 34KB tokenization_utils.py 32KB modeling_common_test.py 26KB modeling_roberta.py 23KB tokenization_transfo_xl.py 21KB tokenization_bert.py 20KB 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_pytorch_checkpoint_to_tf.py 4KB convert_xlnet_checkpoint_to_pytorch.py 4KB tokenization_roberta_test.py 4KB __init__.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 tokenization_transfo_xl_test.py 3KB tokenization_gpt2_test.py 3KB tokenization_openai_test.py 3KB convert_tf_checkpoint_to_pytorch.py 3KB modeling_openai_test.py 2KB modeling_gpt2_test.py 2KB tokenization_utils_test.py 2KB tokenization_auto_test.py 2KB modeling_auto_test.py 2KB conftest.py 511B __init__.py 0B modeling_bert.cpython-37.pyc 81KB modeling_xlnet.cpython-37.pyc 46KB modeling_transfo_xl.cpython-37.pyc 39KB modeling_utils.cpython-37.pyc 39KB modeling_xlm.cpython-37.pyc 34KB modeling_gpt2.cpython-37.pyc 31KB modeling_openai.cpython-37.pyc 29KB tokenization_utils.cpython-37.pyc 28KB modeling_roberta.cpython-37.pyc 20KB tokenization_transfo_xl.cpython-37.pyc 16KB tokenization_bert.cpython-37.pyc 16KB modeling_auto.cpython-37.pyc 13KB tokenization_xlm.cpython-37.pyc 9KB modeling_transfo_xl_utilities.cpython-37.pyc 8KB tokenization_gpt2.cpython-37.pyc 8KB tokenization_roberta.cpython-37.pyc 8KB optimization.cpython-37.pyc 7KB file_utils.cpython-37.pyc 7KB tokenization_openai.cpython-37.pyc 7KB tokenization_auto.cpython-37.pyc 5KB
sample_text.txt 4KB共 101 条
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