Part 2: Beginner’s User Guide for Two Exciting Projects! 🚀

Here’s a clear, fun, and interactive guide to help you get started with EDINET Explorer and JText—two powerful tools designed for unique purposes. Let’s dive in!

Downloading Data from EDINET: EDINET-EXPLORER 🕵️‍♂️

Purpose: Automate the collection and preprocessing of Japanese financial reports from EDINET.

Features

• Fetch Financial Data: Automatically pull annual reports from EDINET.

• Clean and Transform Data: Preprocessing tools help you organize and clean raw reports.

• User-Friendly Interface: Perfect for beginners and experts.

• Data Export: Save your processed data in formats like CSV or Excel for further analysis

   

Launch the App:

xxxxxxxxxx
edinet-explorer

✨ The app’s user-friendly interface will open. Time to get started!

Retrieve Data :

xxxxxxxxxx
2022/04/01~2022/05/01

Contact and Help

• For questions, feedback, or issues, email vincentlpj.ou@gmail.com.

• Stay tuned for updates on GitHub! 🚀

   

Package for Processing Japanese Text: JTEXT

Purpose: Analyze Japanese text with a Python library that’s tailored for academic usage.

Features

• Text Analysis: Break down financial reports from EDINET-EXPLORER and explore its structure.

• Insights into Linguistics: Understand the richness of Japanese language through data.

How to Use JTEXT

• Import JText into Your Python Project: Open your favorite Python editor (e.g., VS Code) and type:

  xxxxxxxxxx
  from jtext import JText
  

• Download unidic (automatically)

  It may take a while to download Unidic Dictionary

• Analyze Japanese Text: Let’s test it with a sample:

  xxxxxxxxxx
  text = JText("日本語のテキストを解析します。")
  text.get_length()
  text.get_readability(print_detail = True)