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This tutorial demonstrates how to convert a JSON lyric database into Excel, filter Jay Chou songs, perform Chinese word segmentation with Jieba, compute word frequencies, and create visualizations such as word clouds using Python code and online tools.
This tutorial introduces fundamental natural language processing techniques, covering text preprocessing steps such as tokenization and stop‑word removal, followed by TF‑IDF feature extraction, and provides complete Python code examples to practice these concepts on a sample dataset.
This tutorial demonstrates how to preprocess a Chinese lyrics JSON dataset, extract Jay Chou's songs using Python, perform word segmentation with Jieba, compute word frequencies, and create visualizations such as word clouds both programmatically and with online tools.
This article demonstrates how to scrape a news webpage with Python, extract and segment its Chinese text using jieba, count word frequencies, and visualize the top ten terms as a word cloud and a pie chart with pyecharts.
This article explores Chinese word segmentation, illustrating its linguistic nuances with a humorous example, explains key methods—including dictionary‑based, statistical, and deep‑learning approaches—and provides Python code using a simple dictionary algorithm and the popular jieba library to demonstrate practical implementation.
This tutorial explains how to scrape a news article with Python, segment Chinese text, count word frequencies, and visualize the top ten words using a word cloud and a pie chart, providing complete code and sample results.
This article explains how to perform Chinese part-of-speech tagging using the jieba.posseg library in Python, including loading stop words, extracting article content via Newspaper3k, applying precise mode segmentation, filtering, and presenting results in a pandas DataFrame.
This report describes a Python‑based web application built with Flask that scrapes hot‑search data from Weibo, Baidu and Zhihu, processes it using jieba and other libraries, and visualizes the results together with domestic COVID‑19 statistics using ECharts on a responsive front‑end page.
This tutorial explains how to install and use the Jieba segmentation library and the WordCloud package in Python to process Chinese text, customize dictionaries and stopwords, and generate visually appealing word cloud images based on a mask picture.