GithubHelp home page GithubHelp logo

tesorflow_task4's Introduction

Tesorflow_task4

task4

  1. 朴素贝叶斯的原理
  2. 利用朴素贝叶斯模型进行文本分类
  3. SVM的原理
  4. 利用SVM模型进行文本分类
  5. pLSA、共轭先验分布；LDA主题模型原理
  6. 使用LDA生成主题特征，在之前特征的基础上加入主题特征进行文本分类
  7. 参考 朴素贝叶斯1：sklearn：朴素贝叶斯（naïve beyes） - 专注计算机体系结构 - CSDN博客 LDA数学八卦 lda2：用LDA处理文本(Python) - 专注计算机体系结构 - CSDN博客 合并特征：Python：合并两个numpy矩阵 - 专注计算机体系结构 - CSDN博客

tesorflow_task4's People

Contributors

stormlee avatar

Watchers

James Cloos avatar avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.