基于python的文本感情分析

[{"title":"（ 19 个子文件 143KB ） 基于python的文本感情分析","children":[{"title":"基于情感词典进行情感分析","children":[{"title":"reducer.py <span style='color:#111;'> 391B </span>","children":null,"spread":false},{"title":"结果汇总.txt <span style='color:#111;'> 88B </span>","children":null,"spread":false},{"title":"mapper.py <span style='color:#111;'> 3.11KB </span>","children":null,"spread":false},{"title":"10000+运行结果.txt <span style='color:#111;'> 202.74KB </span>","children":null,"spread":false},{"title":"情感词典","children":[{"title":"主张词语（中文）.txt <span style='color:#111;'> 289B </span>","children":null,"spread":false},{"title":"正面情感词语（中文）.txt <span style='color:#111;'> 6.11KB </span>","children":null,"spread":false},{"title":"感叹号.txt <span style='color:#111;'> 5B </span>","children":null,"spread":false},{"title":"正面评价词语（中文）2.txt <span style='color:#111;'> 14.62KB </span>","children":null,"spread":false},{"title":"正面评价词语（中文）1.txt <span style='color:#111;'> 15.53KB </span>","children":null,"spread":false},{"title":"程度级别5词语（中文）.txt <span style='color:#111;'> 170B </span>","children":null,"spread":false},{"title":"程度级别3词语（中文）.txt <span style='color:#111;'> 224B </span>","children":null,"spread":false},{"title":"负面评价词语（中文）.txt <span style='color:#111;'> 25.46KB </span>","children":null,"spread":false},{"title":"程度级别1词语（中文）.txt <span style='color:#111;'> 72B </span>","children":null,"spread":false},{"title":"程度级别2词语（中文）.txt <span style='color:#111;'> 174B </span>","children":null,"spread":false},{"title":"程度级别6词语（中文）.txt <span style='color:#111;'> 430B </span>","children":null,"spread":false},{"title":"负面情感词语（中文）.txt <span style='color:#111;'> 9.69KB </span>","children":null,"spread":false},{"title":"否定词语.txt <span style='color:#111;'> 140B </span>","children":null,"spread":false},{"title":"程度级别4词语（中文）.txt <span style='color:#111;'> 218B </span>","children":null,"spread":false},{"title":"正面评价词语（中文）.txt <span style='color:#111;'> 29.67KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}]