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dario-github authored Feb 19, 2023
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# <center>基于 Notion 富文本的数据分析</center>

<div style="text-align:center">

从Notion数据库中读取文本并进行自然语言处理分析。

[![CI](https://github.com/dario-github/notion_rich_text_analysis/actions/workflows/main.yml/badge.svg)](https://github.com/dario-github/notion_rich_text_analysis/actions/workflows/main.yml)
[![codecov](https://codecov.io/gh/dario-github/notion_rich_text_analysis/branch/main/graph/badge.svg?token=ehzYhousD3)](https://codecov.io/gh/dario-github/notion_rich_text_analysis)
![version](https://img.shields.io/badge/version-1.0.1-green.svg?maxAge=259200)
![visitors](https://visitor-badge.glitch.me/badge?page_id=dario-github.notion_rich_text_analysis&left_color=gray&right_color=green)

[English](./README.md) / [简体中文](./README.zh.md)

</div>
<p align="center">
<img width="100px" src="https://img.icons8.com/ios/250/FFFFFF/share-2.png" align="center" alt="Notion Rich Text Data Analysis" />
<h1 align="center">
基于 Notion 富文本的数据分析
</h1>
<p align="center">
从Notion数据库中读取文本并进行自然语言处理分析。
</p>
</p>

<p align="center">
<a href="https://github.com/dario-github/notion_rich_text_analysis/actions">
<img alt="Tests Passing" src="https://github.com/dario-github/notion_rich_text_analysis/actions/workflows/main.yml/badge.svg" />
</a>
<a href="https://codecov.io/gh/dario-github/notion_rich_text_analysis">
<img alt="codecov" src="https://codecov.io/gh/dario-github/notion_rich_text_analysis/branch/main/graph/badge.svg?token=ehzYhousD3" />
</a>
<a href="https://github.com/dario-github/notion_rich_text_analysis/graphs/contributors">
<img alt="GitHub Contributors" src="https://img.shields.io/github/contributors/dario-github/notion_rich_text_analysis" />
</a>
<a href="https://github.com/dario-github/notion_rich_text_analysis">
<img alt="visitors" src="https://visitor-badge.glitch.me/badge?page_id=dario-github.notion_rich_text_analysis&left_color=gray&right_color=green" />
</a>
</p>

<p align="center">
<a href="README.md">English</a>
/
<a href="README.zh.md">简体中文</a>
</p>

## 简介

Expand All @@ -28,15 +44,15 @@ flomo刚出时,在notion建了一个database用来实现类似功能。记录

## Pipline

<div style="text-align:center">
<center>

```mermaid
flowchart TB
A[(Notion Database)] --> B([通过 API 读取富文本]) --> C([分词/清洗/建立词句映射]) --> D[/计算 TF-IDF/] --> E[[将 top-n 关键词及所在语句输出为 markdown 格式]]
```

</div>
</center>

## 安装

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