python基于知网情感词典的情感分析模型.zip

上传者: maxMikexu | 上传时间: 2021-02-20 14:22:42 | 文件大小: 243KB | 文件类型: ZIP
本资源为基于知网情感词典设计的情感分析程序,程序中包含设计的代码文件,情感词典文件,程度词表文件,以及微博语料和情感分析结果文件。

文件下载

资源详情

[{"title":"( 25 个子文件 243KB ) python基于知网情感词典的情感分析模型.zip","children":[{"title":"基于情感词典的情感分析模型","children":[{"title":"degree_dict","children":[{"title":"inverse.txt <span style='color:#111;'> 105B </span>","children":null,"spread":false},{"title":"ish.txt <span style='color:#111;'> 219B </span>","children":null,"spread":false},{"title":"most.txt <span style='color:#111;'> 494B </span>","children":null,"spread":false},{"title":"very.txt <span style='color:#111;'> 245B </span>","children":null,"spread":false},{"title":"over.txt <span style='color:#111;'> 201B </span>","children":null,"spread":false},{"title":"more.txt <span style='color:#111;'> 255B </span>","children":null,"spread":false},{"title":"insufficiently.txt <span style='color:#111;'> 100B </span>","children":null,"spread":false}],"spread":true},{"title":"text_preprocess.py <span style='color:#111;'> 3.89KB </span>","children":null,"spread":false},{"title":"result_data","children":[{"title":"result_data.txt <span style='color:#111;'> 10.58KB </span>","children":null,"spread":false}],"spread":true},{"title":".idea","children":[{"title":"misc.xml <span style='color:#111;'> 188B </span>","children":null,"spread":false},{"title":"workspace.xml <span style='color:#111;'> 3.99KB </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"Project_Default.xml <span style='color:#111;'> 909B </span>","children":null,"spread":false},{"title":"profiles_settings.xml <span style='color:#111;'> 174B </span>","children":null,"spread":false}],"spread":true},{"title":"modules.xml <span style='color:#111;'> 337B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 50B </span>","children":null,"spread":false},{"title":"基于情感词典的情感分析模型.iml <span style='color:#111;'> 412B </span>","children":null,"spread":false}],"spread":true},{"title":"emotion_dict","children":[{"title":"emotion_level.txt <span style='color:#111;'> 4.49KB </span>","children":null,"spread":false},{"title":"neg_all_dict.txt <span style='color:#111;'> 213.08KB </span>","children":null,"spread":false},{"title":"pos_all_dict.txt <span style='color:#111;'> 165.85KB </span>","children":null,"spread":false}],"spread":true},{"title":"sentiment_analysis_all.py <span style='color:#111;'> 8.79KB </span>","children":null,"spread":false},{"title":"test_data","children":[{"title":"stopwords.txt <span style='color:#111;'> 2.78KB </span>","children":null,"spread":false},{"title":"微博.txt <span style='color:#111;'> 7.43KB </span>","children":null,"spread":false},{"title":"人工情感标注.txt <span style='color:#111;'> 253B </span>","children":null,"spread":false}],"spread":true},{"title":"情感分析.vsdx <span style='color:#111;'> 48.63KB </span>","children":null,"spread":false},{"title":"sentment_analysis.py <span style='color:#111;'> 8.37KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

  • coldwriter :
    代码可以跑通,配合博主的介绍对情感词典的情感分析方法能有一定了解。
    2021-04-17
  • goodlinux :
    可以用,配合博主的源码
    2020-12-31

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明