Skip to content

Latest commit

 

History

History
executable file
·
73 lines (48 loc) · 2.21 KB

README.md

File metadata and controls

executable file
·
73 lines (48 loc) · 2.21 KB

HKUST Library - DS CoLab Project - P001

Chinese Named-Entity Recognition (NER) Tool

Project Introduction: https://library.hkust.edu.hk/ds/project/p001/

Preview

preview of the app

Manual

使用手冊 Manual Guide - manual.md

Run our tool on your computer locally

  1. Ensure python and pip are installed in your computer.

Tip

If you encounter difficulties in installing python and pip, please see slide 7-14 here.

  1. Download our source code.

    git clone https://github.com/hkust-lib-ds/P001-PUBLIC_Chinese-NER-Tool.git
    
  2. Change to the appropriate folder location.

    cd P001-PUBLIC_Chinese-NER-Tool
    
  3. Install the required dependencies using the following command.

    pip3 install -r requirements.txt
    

    OR

    pip install -r requirements.txt
    
  4. Run our tool using the following command.

    streamlit run NER_Chinese.py
    

    OR

    python -m streamlit run NER_Chinese.py
    

Tip

If you encounter difficulties in running the app, please read this articles for reference.

Project Team

Developers Details
YIP Sau Lai, Sherry Year 3, BSc in Data Science and Technology
HAN Liuruo, Berry Year 2, BSc in Data Science and Technology
Advisers Details
Holly CHAN Assistant Manager (Digital Humanities)
Leo WONG Librarian (Systems & Digital Services)
Jennifer GU Librarian (Research Support)
Aster ZHAO Librarian (Research Support)