Create Chinese Word Clouds in Minutes with Python’s jieba and wordcloud
This tutorial shows how to use the Python libraries jieba and wordcloud to quickly generate Chinese word‑cloud visualizations, explaining required dependencies, code structure, and usage tips so readers can produce word clouds from any Chinese text in just minutes.
This article introduces two essential Python libraries— jieba for Chinese word segmentation and wordcloud for generating word‑cloud images.
After about an hour and a half of preparation, readers can learn to create a word cloud from any Chinese text in roughly ten minutes.
The code is heavily modified from an existing blog to fix bugs and improve efficiency. It is divided into three main parts:
Parameter setup that allows the script to run with minimal adjustments.
Configuration of jieba, with an isCN flag to enable or disable Chinese segmentation.
Settings for wordcloud, including image generation, display, and saving.
To generate an English word cloud, set isCN to 0 and provide an English stop‑word list; however, the author recommends using the more concise code from “Python词云 worldcloud 十五分钟入门与进阶”.
Usage is straightforward—simply follow the inline comments, and you can master the tool within minutes.
Signed-in readers can open the original source through BestHub's protected redirect.
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