# Roshanson/TextInfoExp

自然语言处理实验（sougou数据集），TF-IDF，文本分类、聚类、词向量、情感识别、关系抽取等

Repository: https://github.com/Roshanson/TextInfoExp
Canonical: https://ross.abutalabs.com/products/textinfoexp
Language: Python
License Family: other
Topics: nlp, python
Last push: 2022-07-18T09:12:22+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3474, "days_push": 1507, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1732, forks 754 (observed 2026-08-28T04:05:28.791056+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, machine-learning, data-science
- domain: machine-learning, data-science, education
- platform: python
- tags: tf-idf, text-classification, text-clustering, word-embeddings, sentiment-analysis, relation-extraction, chinese-nlp, jieba, sogou-dataset, experiments, natural-language-processing

## Member repositories
- Roshanson/TextInfoExp (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:28.791056+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:31:30.061263+00:00, confidence not recorded.
  - readme: https://github.com/Roshanson/TextInfoExp (fetched 2026-08-28T04:05:28.791056+00:00, sha 2a51e7f7d13b)
- Data as of 2026-08-30T08:39:29.467469+00:00.