Natual Language Procession.rar 自然语言处理学习包，自己备用需要自取

[{"title":"（ 45 个子文件 175.54MB ） Natual Language Procession.rar 自然语言处理学习包，自己备用需要自取","children":[{"title":"Natual Language Procession","children":[{"title":"基于词向量的词语相似度计算_理论.pdf <span style='color:#111;'> 2.02MB </span>","children":null,"spread":false},{"title":"3.基于NLP工具的词性标注_理论.pdf <span style='color:#111;'> 1023.62KB </span>","children":null,"spread":false},{"title":"[第7章]_[基于Kmeans的短文本聚类]_理论课件-1648516341480.pdf <span style='color:#111;'> 3.27MB </span>","children":null,"spread":false},{"title":"软著申请-个人注册-实名认证.pdf <span style='color:#111;'> 1.34MB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"train_dataset-1649057604691.csv <span style='color:#111;'> 1.75MB </span>","children":null,"spread":false},{"title":"hotel_reviews-1648547753539 (1).csv <span style='color:#111;'> 2.76MB </span>","children":null,"spread":false},{"title":"hit_stopwords-1648705397509 (1).txt <span style='color:#111;'> 5.15KB </span>","children":null,"spread":false},{"title":"test_dataset-1649057604666.csv <span style='color:#111;'> 449.47KB </span>","children":null,"spread":false},{"title":"hit_stopwords-1648705397509.txt <span style='color:#111;'> 5.15KB </span>","children":null,"spread":false},{"title":"faq_COVID19","children":[{"title":"data.rar <span style='color:#111;'> 10.64KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"questions.txt <span style='color:#111;'> 3.96KB </span>","children":null,"spread":false},{"title":"answers.txt <span style='color:#111;'> 18.69KB </span>","children":null,"spread":false}],"spread":true},{"title":"tf-idf-demo.py <span style='color:#111;'> 732B </span>","children":null,"spread":false},{"title":".idea","children":[{"title":"faq_COVID19.iml <span style='color:#111;'> 405B </span>","children":null,"spread":false},{"title":"misc.xml <span style='color:#111;'> 199B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 281B </span>","children":null,"spread":false},{"title":"workspace.xml <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"Project_Default.xml <span style='color:#111;'> 468B </span>","children":null,"spread":false},{"title":"profiles_settings.xml <span style='color:#111;'> 174B </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"score.py <span style='color:#111;'> 137B </span>","children":null,"spread":false}],"spread":true},{"title":"复习-kmeans-1648711351885 (1).py <span style='color:#111;'> 1.14KB </span>","children":null,"spread":false},{"title":"1.txt <span style='color:#111;'> 236B </span>","children":null,"spread":false},{"title":"射雕英雄传.txt <span style='color:#111;'> 2.79MB </span>","children":null,"spread":false},{"title":"user_dict.txt <span style='color:#111;'> 68B </span>","children":null,"spread":false}],"spread":true},{"title":"model","children":[{"title":"射雕英雄传.txt <span style='color:#111;'> 2.79MB </span>","children":null,"spread":false}],"spread":true},{"title":"基于TextCNN的文本分类_实验指导书-1649056873839.pdf <span style='color:#111;'> 1.07MB </span>","children":null,"spread":false},{"title":"3.基于NLP工具的词性标注_实验指导书.pdf <span style='color:#111;'> 634.01KB </span>","children":null,"spread":false},{"title":"预习_[基于情感词典的文本情感分析]_理论课件.pdf <span style='color:#111;'> 2.69MB </span>","children":null,"spread":false},{"title":"基于Kmeans的短文本聚类_实验指导书-1648547748789.pdf <span style='color:#111;'> 800.72KB </span>","children":null,"spread":false},{"title":"[基于LSTM的中文古诗词生成]_理论课件-1649316121640.pdf <span style='color:#111;'> 3.53MB </span>","children":null,"spread":false},{"title":"【官方】实验报告模板.doc <span style='color:#111;'> 37.50KB </span>","children":null,"spread":false},{"title":"NLP课程大作业-1649292642820.pdf <span style='color:#111;'> 84.33KB </span>","children":null,"spread":false},{"title":"Documents","children":null,"spread":false},{"title":"基于词向量的词语相似度计算_实验指导书.pdf <span style='color:#111;'> 675.86KB </span>","children":null,"spread":false},{"title":"陶士雯_319103020211.rar <span style='color:#111;'> 81.66MB </span>","children":null,"spread":false},{"title":"2.基于NLP工具的中文分词_实验指导书.pdf <span style='color:#111;'> 740.61KB </span>","children":null,"spread":false},{"title":"[第1章]_[认识自然语言]_理论课件.pdf <span style='color:#111;'> 5.10MB </span>","children":null,"spread":false},{"title":"[第8章]_[基于TextCNN的文本分类]_理论课件-1648778214443.pdf <span style='color:#111;'> 3.22MB </span>","children":null,"spread":false},{"title":"射雕英雄传.txt <span style='color:#111;'> 2.79MB </span>","children":null,"spread":false},{"title":"基于情感词典的文本情感分析_实验指导书-1634179889308-1648172853623.pdf <span style='color:#111;'> 811.10KB </span>","children":null,"spread":false},{"title":"基于LSTM的中文古诗词生成_实验指导书-1649316121667.pdf <span style='color:#111;'> 915.28KB </span>","children":null,"spread":false},{"title":"第六章 循环神经网络.pptx <span style='color:#111;'> 3.19MB </span>","children":null,"spread":false},{"title":"新冠病毒的FAQ问答系统_实验指导书.pdf <span style='color:#111;'> 970.58KB </span>","children":null,"spread":false},{"title":"word_segmentation.py <span style='color:#111;'> 3.64KB </span>","children":null,"spread":false},{"title":"顶点课程-自编讲义（智能机器人）-1649064332593.pdf <span style='color:#111;'> 77.47MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]