产品评论大数据挖掘情感分析python版

[{"title":"（ 50 个子文件 35.92MB ） 产品评论大数据挖掘情感分析python版","children":[{"title":"chapter15","children":[{"title":"test","children":[{"title":"data","children":[{"title":"huizong.csv <span style='color:#111;'> 46.54MB </span>","children":null,"spread":false},{"title":"meidi_jd_neg.txt <span style='color:#111;'> 533.35KB </span>","children":null,"spread":false},{"title":"meidi_jd_process_end_正面情感结果.txt <span style='color:#111;'> 2.86MB </span>","children":null,"spread":false},{"title":"myDict.txt <span style='color:#111;'> 324.31KB </span>","children":null,"spread":false},{"title":"meidi_jd_pos.txt <span style='color:#111;'> 2.72MB </span>","children":null,"spread":false},{"title":"meidi_jd_process_3.txt <span style='color:#111;'> 3.84MB </span>","children":null,"spread":false},{"title":"meidi_jd_process_end_负面情感结果.txt <span style='color:#111;'> 557.11KB </span>","children":null,"spread":false},{"title":"meidi_jd_process_2.txt <span style='color:#111;'> 3.89MB </span>","children":null,"spread":false},{"title":"stoplist.txt <span style='color:#111;'> 9.14KB </span>","children":null,"spread":false},{"title":"meidi_jd_neg_cut.txt <span style='color:#111;'> 654.23KB </span>","children":null,"spread":false},{"title":"meidi_jd_process_end.txt <span style='color:#111;'> 3.82MB </span>","children":null,"spread":false},{"title":"meidi_jd.txt <span style='color:#111;'> 4.05MB </span>","children":null,"spread":false},{"title":"meidi_jd_pos_cut.txt <span style='color:#111;'> 3.34MB </span>","children":null,"spread":false},{"title":"meidi_jd_process_1.txt <span style='color:#111;'> 3.95MB </span>","children":null,"spread":false}],"spread":false},{"title":"tmp","children":[{"title":"meidi_jd_pos_cut_LDA_result.txt <span style='color:#111;'> 2.33KB </span>","children":null,"spread":false},{"title":"meidi_jd_neg.txt <span style='color:#111;'> 383.96KB </span>","children":null,"spread":false},{"title":"meidi_jd_pos.txt <span style='color:#111;'> 2.00MB </span>","children":null,"spread":false},{"title":"meidi_jd_neg_cut.txt <span style='color:#111;'> 3.76MB </span>","children":null,"spread":false},{"title":"meidi_jd.txt <span style='color:#111;'> 2.88MB </span>","children":null,"spread":false},{"title":"meidi_jd_pos_cut.txt <span style='color:#111;'> 746.74KB </span>","children":null,"spread":false}],"spread":true},{"title":"code","children":[{"title":"LDA.py <span style='color:#111;'> 1.58KB </span>","children":null,"spread":false},{"title":"clean_prefix.py <span style='color:#111;'> 769B </span>","children":null,"spread":false},{"title":"excel2txt.py <span style='color:#111;'> 349B </span>","children":null,"spread":false},{"title":"cut.py <span style='color:#111;'> 807B </span>","children":null,"spread":false},{"title":"clean_same.py <span style='color:#111;'> 430B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"demo","children":[{"title":"data","children":[{"title":"huizong.csv <span style='color:#111;'> 54.35MB </span>","children":null,"spread":false},{"title":"meidi_jd_neg.txt <span style='color:#111;'> 533.35KB </span>","children":null,"spread":false},{"title":"meidi_jd_process_end_正面情感结果.txt <span style='color:#111;'> 2.86MB </span>","children":null,"spread":false},{"title":"myDict.txt <span style='color:#111;'> 324.31KB </span>","children":null,"spread":false},{"title":"meidi_jd_pos.txt <span style='color:#111;'> 2.72MB </span>","children":null,"spread":false},{"title":"meidi_jd_process_3.txt <span style='color:#111;'> 3.84MB </span>","children":null,"spread":false},{"title":"meidi_jd_process_end_负面情感结果.txt <span style='color:#111;'> 557.11KB </span>","children":null,"spread":false},{"title":"meidi_jd_process_2.txt <span style='color:#111;'> 3.89MB </span>","children":null,"spread":false},{"title":"stoplist.txt <span style='color:#111;'> 9.14KB </span>","children":null,"spread":false},{"title":"meidi_jd_neg_cut.txt <span style='color:#111;'> 654.23KB </span>","children":null,"spread":false},{"title":"meidi_jd_process_end.txt <span style='color:#111;'> 3.82MB </span>","children":null,"spread":false},{"title":"meidi_jd.txt <span style='color:#111;'> 4.05MB </span>","children":null,"spread":false},{"title":"meidi_jd_pos_cut.txt <span style='color:#111;'> 3.34MB </span>","children":null,"spread":false},{"title":"meidi_jd_process_1.txt <span style='color:#111;'> 3.95MB </span>","children":null,"spread":false}],"spread":false},{"title":"tmp","children":[{"title":"meidi_jd_pos_cut_LDA_result.txt <span style='color:#111;'> 2.33KB </span>","children":null,"spread":false},{"title":"meidi_jd_neg.txt <span style='color:#111;'> 383.96KB </span>","children":null,"spread":false},{"title":"meidi_jd_pos.txt <span style='color:#111;'> 2.00MB </span>","children":null,"spread":false},{"title":"meidi_jd_neg_cut.txt <span style='color:#111;'> 3.76MB </span>","children":null,"spread":false},{"title":"meidi_jd.txt <span style='color:#111;'> 2.88MB </span>","children":null,"spread":false},{"title":"meidi_jd_pos_cut.txt <span style='color:#111;'> 746.74KB </span>","children":null,"spread":false}],"spread":true},{"title":"code","children":[{"title":"15-4_cut.py <span style='color:#111;'> 807B </span>","children":null,"spread":false},{"title":"15-3_clean_prefix.py <span style='color:#111;'> 769B </span>","children":null,"spread":false},{"title":"15-2_clean_same.py <span style='color:#111;'> 430B </span>","children":null,"spread":false},{"title":"15-1_excel2txt.py <span style='color:#111;'> 349B </span>","children":null,"spread":false},{"title":"15-5_LDA.py <span style='color:#111;'> 2.01KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true}]