Git Product home page Git Product logo

simple_classification_of_hanzi's Introduction

获取模型
主要步骤:

  1. 文本预处理,提取语料中的中文
  2. 向量化
  3. 训练
  4. 存储模型

主要使用工具:
scikit-learnGaussianNB(朴素贝叶斯模型)和CountVectorizer(获取词向量)

预测文本
提供三种方式预测

    ===========================================
    usage:
    1. t :train model
    2. f [filename]:detect one file
    3. s [sentence]:detect one sentence
    4. d [diratory]:detect one diratory
    ===========================================

运行效果

运行方法
安装scikit-learn代码库
运行python detect.py

simple_classification_of_hanzi's People

Contributors

lixcli avatar

Watchers

 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.