wCloud

The script processes a Chinese interview text to segment words with jieba and generates a word cloud.

How to use

Get the repo

git clone https://github.com/sepinetam/wCloud.git

Create a Virtual Environment and Install Dependencies

cd wCloud

python -m venv venv
source venv/bin/avtivate

pip install -r requirements.txt

Usage

1. Modify/import txt text files into the in folder.
2. Determine the font to use (default is SimHei).
3. Run the script.

Example Usage

The example file is "in/example.txt".

The stop file is "stop.txt"

The returned file is "out/example.png".

Font selection is SimSun.

python main.py example stop SimSun

Example Explanation

• The input file is "in/example.txt"
• The stop file is "stop.txt"
• The resulting word cloud image is "out/example.png".
• The chosen font is fonts/SimSun.ttf.

Parameter Explanation

python main.py file stop font

• Parameter 1 (file): The name of the input file (".txt" is optional). If not provided, the default is "test.txt".
• Parameter 2 (stop): The stopwords file (".txt" is optional). If not provided, the default is "stop.txt"
• Parameter 3 (font): The font (".ttf" is optional). If not provided, the default is "SimHei.ttf".

Acknowledgements

Chinese Font Provision

Thanks to @StellarCN for providing the font SimHei. Wishing StellarCN continued success.

Thanks to Sociology and Political Science student @Esme from Shanghai University for the requirements, which inspired me to write this small tool.