Roshanson/TextInfoExp resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1732 stars · 754 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Chinese natural language processing experiments in Python, covering TF-IDF, text classification, clustering, word vectors, sentiment recognition, and relation extraction using the Sogou dataset. It serves primarily as an educational resource demonstrating classic NLP pipelines with tools like jieba.

Use cases

• learn text classification with tf-idf in python
• experiment with chinese word segmentation using jieba
• cluster text documents from the sogou dataset
• train word vectors for chinese text
• build a sentiment recognition model
• try relation extraction on chinese corpora
• study nlp experiment code for a course

When to choose

• you are learning nlp basics in python with chinese text
• you need reference implementations of tf-idf, classification, clustering, or word embeddings
• you want a hands-on educational codebase using the sogou dataset

When to avoid

• you need a production-grade or maintained nlp library
• you require a permissive license (the repo has none)
• you need python 3 support or modern tooling
• you want state-of-the-art transformer-based models

Facets

learning-resource · maturity maintenance

nlp machine-learning data-science machine-learning data-science education python tf-idf text-classification text-clustering word-embeddings sentiment-analysis relation-extraction chinese-nlp jieba sogou-dataset experiments natural-language-processing

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