基于AdaBoost算法的情感分析研究

[{"title":"（ 95 个子文件 12.97MB ） 基于AdaBoost算法的情感分析研究","children":[{"title":"weiboanalysis","children":[{"title":"word_cloud","children":[{"title":"simhei.ttf <span style='color:#111;'> 9.30MB </span>","children":null,"spread":false},{"title":"temp.png <span style='color:#111;'> 106.84KB </span>","children":null,"spread":false},{"title":"en_test.py <span style='color:#111;'> 624B </span>","children":null,"spread":false},{"title":"draw_word.py <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false},{"title":"en.txt <span style='color:#111;'> 25.77KB </span>","children":null,"spread":false}],"spread":true},{"title":"SVM.py <span style='color:#111;'> 3.28KB </span>","children":null,"spread":false},{"title":"pynlptest.py <span style='color:#111;'> 621B </span>","children":null,"spread":false},{"title":"plot_adaboost_multiclass.py <span style='color:#111;'> 3.98KB </span>","children":null,"spread":false},{"title":"train","children":[{"title":"new_train.py <span style='color:#111;'> 5.64KB </span>","children":null,"spread":false},{"title":"vocabularyList.txt <span style='color:#111;'> 10.91KB </span>","children":null,"spread":false},{"title":"model","children":[{"title":"gnb.model_02.npy <span style='color:#111;'> 35.40KB </span>","children":null,"spread":false},{"title":"gnb.model_04.npy <span style='color:#111;'> 104B </span>","children":null,"spread":false},{"title":"gnb.model_03.npy <span style='color:#111;'> 92B </span>","children":null,"spread":false},{"title":"gnb.model <span style='color:#111;'> 539B </span>","children":null,"spread":false},{"title":"gnb.model_05.npy <span style='color:#111;'> 35.40KB </span>","children":null,"spread":false},{"title":"gnb.model_01.npy <span style='color:#111;'> 104B </span>","children":null,"spread":false}],"spread":true},{"title":"__pycache__","children":[{"title":"tool.cpython-35.pyc <span style='color:#111;'> 5.16KB </span>","children":null,"spread":false},{"title":"__init__.cpython-35.pyc <span style='color:#111;'> 132B </span>","children":null,"spread":false},{"title":"boostNB.cpython-35.pyc <span style='color:#111;'> 4.69KB </span>","children":null,"spread":false}],"spread":true},{"title":"train.txt <span style='color:#111;'> 41.80KB </span>","children":null,"spread":false},{"title":"word.txt <span style='color:#111;'> 365B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"boostNB.py <span style='color:#111;'> 5.54KB </span>","children":null,"spread":false},{"title":"new_word.txt <span style='color:#111;'> 11.36KB </span>","children":null,"spread":false},{"title":"tool.py <span style='color:#111;'> 5.64KB </span>","children":null,"spread":false},{"title":"training.py <span style='color:#111;'> 3.79KB </span>","children":null,"spread":false}],"spread":false},{"title":"ntusd","children":[{"title":"ntusd-negative.txt <span style='color:#111;'> 78.92KB </span>","children":null,"spread":false},{"title":"ntusd-positive.txt <span style='color:#111;'> 25.89KB </span>","children":null,"spread":false}],"spread":true},{"title":"from_database.py <span style='color:#111;'> 347B </span>","children":null,"spread":false},{"title":"draw_pic.py <span style='color:#111;'> 2.33KB </span>","children":null,"spread":false},{"title":"model","children":[{"title":"gnb.model_02.npy <span style='color:#111;'> 104B </span>","children":null,"spread":false},{"title":"gnb.model_04.npy <span style='color:#111;'> 104B </span>","children":null,"spread":false},{"title":"gnb.model_03.npy <span style='color:#111;'> 7.18KB </span>","children":null,"spread":false},{"title":"gnb.model <span style='color:#111;'> 539B </span>","children":null,"spread":false},{"title":"gnb.model_05.npy <span style='color:#111;'> 7.18KB </span>","children":null,"spread":false},{"title":"gnb.model_01.npy <span style='color:#111;'> 92B </span>","children":null,"spread":false}],"spread":true},{"title":"test.py <span style='color:#111;'> 134B </span>","children":null,"spread":false},{"title":"two_class","children":[{"title":"roc_test.py <span style='color:#111;'> 648B </span>","children":null,"spread":false},{"title":"adaboostNB.py <span style='color:#111;'> 5.10KB </span>","children":null,"spread":false},{"title":"model","children":[{"title":"gnb.model_02.npy <span style='color:#111;'> 88B </span>","children":null,"spread":false},{"title":"gnb.model_04.npy <span style='color:#111;'> 4.84KB </span>","children":null,"spread":false},{"title":"gnb.model_03.npy <span style='color:#111;'> 96B </span>","children":null,"spread":false},{"title":"gnb.model <span style='color:#111;'> 10.22KB </span>","children":null,"spread":false},{"title":"gnb.model_05.npy <span style='color:#111;'> 96B </span>","children":null,"spread":false},{"title":"gnb.model_01.npy <span style='color:#111;'> 4.84KB </span>","children":null,"spread":false}],"spread":true},{"title":"DS.txt <span style='color:#111;'> 7.33KB </span>","children":null,"spread":false},{"title":"svm_temp.py <span style='color:#111;'> 3.08KB </span>","children":null,"spread":false},{"title":"using_sklearn.py <span style='color:#111;'> 2.85KB </span>","children":null,"spread":false},{"title":"update_adaboostNB.py <span style='color:#111;'> 3.38KB </span>","children":null,"spread":false},{"title":"roc_temp.py <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false},{"title":"two_nb.py <span style='color:#111;'> 7.06KB </span>","children":null,"spread":false},{"title":"two_class.txt <span style='color:#111;'> 41.79KB </span>","children":null,"spread":false}],"spread":true},{"title":"multi_AdaBoost","children":[{"title":"model","children":[{"title":"gnb.model <span style='color:#111;'> 15.19KB </span>","children":null,"spread":false}],"spread":true},{"title":"multi_test.py <span style='color:#111;'> 4.07KB </span>","children":null,"spread":false},{"title":"Bayes.py <span style='color:#111;'> 7.76KB </span>","children":null,"spread":false},{"title":"multi_boost.py <span style='color:#111;'> 2.57KB </span>","children":null,"spread":false}],"spread":true},{"title":".git","children":[{"title":"index <span style='color:#111;'> 6.50KB </span>","children":null,"spread":false},{"title":"hooks","children":[{"title":"fsmonitor-watchman.sample <span style='color:#111;'> 3.25KB </span>","children":null,"spread":false},{"title":"pre-push.sample <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"prepare-commit-msg.sample <span style='color:#111;'> 1.46KB </span>","children":null,"spread":false},{"title":"applypatch-msg.sample <span style='color:#111;'> 478B </span>","children":null,"spread":false},{"title":"pre-commit.sample <span style='color:#111;'> 1.60KB </span>","children":null,"spread":false},{"title":"pre-receive.sample <span style='color:#111;'> 544B </span>","children":null,"spread":false},{"title":"pre-applypatch.sample <span style='color:#111;'> 424B </span>","children":null,"spread":false},{"title":"commit-msg.sample <span style='color:#111;'> 896B </span>","children":null,"spread":false},{"title":"pre-rebase.sample <span style='color:#111;'> 4.78KB </span>","children":null,"spread":false},{"title":"update.sample <span style='color:#111;'> 3.53KB </span>","children":null,"spread":false},{"title":"post-update.sample <span style='color:#111;'> 189B </span>","children":null,"spread":false}],"spread":false},{"title":"config <span style='color:#111;'> 265B </span>","children":null,"spread":false},{"title":"description <span style='color:#111;'> 73B </span>","children":null,"spread":false},{"title":"refs","children":[{"title":"tags","children":null,"spread":false},{"title":"heads","children":[{"title":"master <span style='color:#111;'> 41B </span>","children":null,"spread":false}],"spread":false},{"title":"remotes","children":[{"title":"origin","children":[{"title":"HEAD <span style='color:#111;'> 32B </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":false},{"title":"branches","children":null,"spread":false},{"title":"logs","children":[{"title":"refs","children":[{"title":"heads","children":[{"title":"master <span style='color:#111;'> 186B </span>","children":null,"spread":false}],"spread":false},{"title":"remotes","children":[{"title":"origin","children":[{"title":"HEAD <span style='color:#111;'> 186B </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":false},{"title":"HEAD <span style='color:#111;'> 186B </span>","children":null,"spread":false}],"spread":false},{"title":"packed-refs <span style='color:#111;'> 189B </span>","children":null,"spread":false},{"title":"objects","children":[{"title":"info","children":null,"spread":false},{"title":"pack","children":[{"title":"pack-e25adf78b08581247d12e1eb5443e1d50b60e357.pack <span style='color:#111;'> 6.57MB </span>","children":null,"spread":false},{"title":"pack-e25adf78b08581247d12e1eb5443e1d50b60e357.idx <span style='color:#111;'> 5.61KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"info","children":[{"title":"exclude <span style='color:#111;'> 240B </span>","children":null,"spread":false}],"spread":false},{"title":"HEAD <span style='color:#111;'> 23B </span>","children":null,"spread":false}],"spread":false},{"title":"word","children":[{"title":"count.py <span style='color:#111;'> 363B </span>","children":null,"spread":false},{"title":"mood.py <span style='color:#111;'> 2.21KB </span>","children":null,"spread":false},{"title":"cut.py <span style='color:#111;'> 760B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 134B </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 11.09KB </span>","children":null,"spread":false},{"title":"ad","children":[{"title":"stop.txt <span style='color:#111;'> 13.09KB </span>","children":null,"spread":false},{"title":"normal.txt <span style='color:#111;'> 64.49KB </span>","children":null,"spread":false},{"title":"train.txt <span style='color:#111;'> 79B </span>","children":null,"spread":false},{"title":"advertise.txt <span style='color:#111;'> 44.46KB </span>","children":null,"spread":false}],"spread":false},{"title":"doc","children":[{"title":"基于AdaBoost算法的情感分析研究.docx <span style='color:#111;'> 1.24MB </span>","children":null,"spread":false}],"spread":false},{"title":"svm_train.py <span style='color:#111;'> 6.21KB </span>","children":null,"spread":false},{"title":"Bayes.py <span style='color:#111;'> 6.81KB </span>","children":null,"spread":false},{"title":"temp.py <span style='color:#111;'> 874B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.72KB </span>","children":null,"spread":false},{"title":"jiebatest.py <span style='color:#111;'> 749B </span>","children":null,"spread":false}],"spread":false}],"spread":true}]