nlpcommon

nlpcommon, Python Text Tool. Python3开发。

Guide

• Feature
• Install
• Usage
• Dataset
• Contact
• Cite
• Reference

Feature

nlpcommon is a python Open Source Toolkit for text classification. The goal is to implement text analysis algorithm, so as to achieve the use in the production environment.

nlpcommon has the characteristics of clear algorithm, high performance and customizable corpus.

Functions：

Classifier

• LogisticRegression
• Random Forest
• Decision Tree
• K-Nearest Neighbours
• Naive bayes
• Xgboost
• Support Vector Machine(SVM)
• TextCNN
• TextRNN_Att
• Fasttext
• Bert

Cluster

• MiniBatchKmeans

While providing rich functions, nlpcommon internal modules adhere to low coupling, model adherence to inert loading, dictionary publication, and easy to use.

Install

• Requirements and Installation

pip3 install nlpcommon

or

git clone https://github.com/shibing624/nlpcommon.git
cd nlpcommon
python3 setup.py install

Usage

data

Stopwrods

examples/base_demo.py:

import sys

sys.path.append('..')
from nlpcommon import stopwords

if __name__ == '__main__':
    print(len(stopwords), stopwords)

output:

2438 {'．', '大家', '孰知', '至于', './', '知道', '二话没说', '一何', '从宽', 'especially' ... }

Contact

• Issue(建议)：
• 邮件我：xuming: [email protected]
• 微信我：加我微信号：xuming624, 进Python-NLP交流群，备注：姓名-公司名-NLP

Cite

如果你在研究中使用了nlpcommon，请按如下格式引用：

@misc{nlpcommon,
  title={nlpcommon: Common tool for text NLP},
  author={Ming Xu},
  howpublished={https://github.com/shibing624/nlpcommon},
  year={2022}
}

License

授权协议为 The Apache License 2.0，可免费用做商业用途。请在产品说明中附加nlpcommon的链接和授权协议。

Contribute

项目代码还很粗糙，如果大家对代码有所改进，欢迎提交回本项目，在提交之前，注意以下两点：

• 在tests添加相应的单元测试
• 使用python setup.py test来运行所有单元测试，确保所有单测都是通过的

之后即可提交PR。

Reference

• pytextclassifier