人工智能微博领域情感分析模型案例代码及数据

[{"title":"（ 43 个子文件 9.86MB ） 人工智能微博领域情感分析模型案例代码及数据","children":[{"title":"weibo_sentiment_analysis-master-master","children":[{"title":"train_valid_test_split.py <span style='color:#111;'> 1.21KB </span>","children":null,"spread":false},{"title":"gnb_model_test.py <span style='color:#111;'> 2.51KB </span>","children":null,"spread":false},{"title":"gnb_train.py <span style='color:#111;'> 3.17KB </span>","children":null,"spread":false},{"title":"cnn_train.py <span style='color:#111;'> 6.83KB </span>","children":null,"spread":false},{"title":"lrcv_train.sh <span style='color:#111;'> 21B </span>","children":null,"spread":false},{"title":"bert-base-serving-start.sh <span style='color:#111;'> 269B </span>","children":null,"spread":false},{"title":"bert_freeze_graph.py <span style='color:#111;'> 7.07KB </span>","children":null,"spread":false},{"title":"word2vec","children":[{"title":"word2vec_test.py <span style='color:#111;'> 945B </span>","children":null,"spread":false},{"title":"hownet_zh.txt <span style='color:#111;'> 93.30KB </span>","children":null,"spread":false},{"title":"generate_weibo_corpus.py <span style='color:#111;'> 1.43KB </span>","children":null,"spread":false},{"title":"hit_stopwords.txt <span style='color:#111;'> 5.15KB </span>","children":null,"spread":false},{"title":"word2vec_train.py <span style='color:#111;'> 1.24KB </span>","children":null,"spread":false}],"spread":true},{"title":"lr_model_test.py <span style='color:#111;'> 2.49KB </span>","children":null,"spread":false},{"title":"gnb_train.sh <span style='color:#111;'> 20B </span>","children":null,"spread":false},{"title":"data","children":[{"title":"weibo_senti_100k.csv <span style='color:#111;'> 18.79MB </span>","children":null,"spread":false}],"spread":true},{"title":"lrcv_model_test.py <span style='color:#111;'> 2.49KB </span>","children":null,"spread":false},{"title":"lr_train.py <span style='color:#111;'> 3.19KB </span>","children":null,"spread":false},{"title":"glove","children":[{"title":"glove_test.py <span style='color:#111;'> 928B </span>","children":null,"spread":false}],"spread":false},{"title":"bert_freeze_graph.sh <span style='color:#111;'> 213B </span>","children":null,"spread":false},{"title":"bert_test.sh <span style='color:#111;'> 26B </span>","children":null,"spread":false},{"title":"lrcv_test.sh <span style='color:#111;'> 26B </span>","children":null,"spread":false},{"title":"lr_train.sh <span style='color:#111;'> 19B </span>","children":null,"spread":false},{"title":"gnb_test.sh <span style='color:#111;'> 25B </span>","children":null,"spread":false},{"title":"cnn_test.sh <span style='color:#111;'> 25B </span>","children":null,"spread":false},{"title":"lstm_test.sh <span style='color:#111;'> 26B </span>","children":null,"spread":false},{"title":"modeling.py <span style='color:#111;'> 37.04KB </span>","children":null,"spread":false},{"title":"optimization.py <span style='color:#111;'> 6.61KB </span>","children":null,"spread":false},{"title":"lstm_model_test.py <span style='color:#111;'> 2.35KB </span>","children":null,"spread":false},{"title":"lrcv_train.py <span style='color:#111;'> 3.18KB </span>","children":null,"spread":false},{"title":"lr_test.sh <span style='color:#111;'> 24B </span>","children":null,"spread":false},{"title":"lstm_train.py <span style='color:#111;'> 6.62KB </span>","children":null,"spread":false},{"title":"tokenization.py <span style='color:#111;'> 10.31KB </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 142B </span>","children":null,"spread":false},{"title":"cnn_model_test.py <span style='color:#111;'> 2.54KB </span>","children":null,"spread":false},{"title":"lstm_train.sh <span style='color:#111;'> 44B </span>","children":null,"spread":false},{"title":".inscode <span style='color:#111;'> 482B </span>","children":null,"spread":false},{"title":"cnn_train.sh <span style='color:#111;'> 43B </span>","children":null,"spread":false},{"title":"bert_train.sh <span style='color:#111;'> 530B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.82KB </span>","children":null,"spread":false},{"title":"run_classifier.py <span style='color:#111;'> 32.94KB </span>","children":null,"spread":false},{"title":"vocab.txt <span style='color:#111;'> 106.97KB </span>","children":null,"spread":false},{"title":"bert_model_test.py <span style='color:#111;'> 794B </span>","children":null,"spread":false},{"title":"BERT_README.md <span style='color:#111;'> 877B </span>","children":null,"spread":false}],"spread":false}],"spread":true}]