pyTopicModel

使用Gensim框架，根据摘要（abstract）和标题（title）来实现主题算法

1、下载

pip install pyunit-topicmodel

2、使用

> topic -h
usage: 主题模型

输入主题模型需要的参数

positional arguments:
  {train,predict}  选择程序模式

optional arguments:
  -h, --help       show this help message and exit
  -d D             保存结果的文件夹

训练:
  训练模型参数

  -p P             加载分析的数据路径
  -a A             摘要列名
  -t T             标题列名
  -r R R           主题数取值范围：至少是1

预测:
  预测模型参数

  -k K             预测主题数

3、训练模型

topic train -p 专利-医学其他领域.xlsx -a abo -t tio -d data -r 10 67

4、预测LDA

topic predict -d data -k 40

Metadata

Release files for pyunit-topicmodel 1.0.2

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Uploaded via	`twine/4.0.2 CPython/3.9.16`

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pyunit-topicmodel 1.0.2