[{"title":"(16个子文件711KB)Fin-Sight:基于NLP的客户情绪分析-源码","children":[{"title":"Fin-Sight-main","children":[{"title":"Model","children":[{"title":"bank-reviews-complaint-analysis-using-nlp.ipynb <span style='color:#111;'>229.14KB</span>","children":null,"spread":false},{"title":"BankReviews.ipynb <span style='color:#111;'>482.47KB</span>","children":null,"spread":false},{"title":"m <span style='color:#111;'>1B</span>","children":null,"spread":false}],"spread":true},{"title":"Dataset","children":[{"title":"Tweets(1).csv <span style='color:#111;'>4.79KB</span>","children":null,"spread":false},{"title":"191.xlsx <span style='color:#111;'>39.01KB</span>","children":null,"spread":false},{"title":"Reviewsexploratory(1).xlsx <span style='color:#111;'>233.59KB</span>","children":null,"spread":false},{"title":"12.xlsx <span style='color:#111;'>7.71KB</span>","children":null,"spread":false},{"title":"285.xlsx <span style='color:#111;'>56.73KB</span>","children":null,"spread":false},{"title":"Tweets.csv <span style='color:#111;'>4.79KB</span>","children":null,"spread":false},{"title":"42.xlsx <span style='color:#111;'>12.87KB</span>","children":null,"spread":false},{"title":"446.xlsx <span style='color:#111;'>67.06KB</span>","children":null,"spread":false},{"title":"m <span style='color:#111;'>1B</span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'>114B</span>","children":null,"spread":false},{"title":"Scriptstoextractdata","children":[{"title":"tweetpy.py <span style='color:#111;'>1.42KB</span>","children":null,"spread":false},{"title":"redditdata.py <span style='color:#111;'>3.90KB</span>","children":null,"spread":false},{"title":"reddit2.py <span style='color:#111;'>3.72KB</span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]