# gaussic/text-classification-cnn-rnn

CNN-RNN中文文本分类，基于TensorFlow

Repository: https://github.com/gaussic/text-classification-cnn-rnn
Canonical: https://ross.abutalabs.com/products/text-classification-cnn-rnn
Language: Python
License: MIT
License Family: permissive
Topics: tensorflow, cnn, text-classification, chinese, classification, rnn, tensorboard
Last push: 2024-03-31T10:07:01+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": 3292, "days_push": 885, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4301, forks 1456 (observed 2026-08-28T04:08:41.603657+00:00)

## What it is
A TensorFlow implementation of Chinese text classification using character-level CNN and RNN models, based on THUCNews data. It serves primarily as an educational reference implementation with detailed documentation of preprocessing, model architecture, and training.

## Use cases
- classify Chinese news articles into categories
- learn how to build a CNN for sentence classification in TensorFlow
- train an RNN text classifier on Chinese text
- understand character-level text classification preprocessing
- reproduce textcnn results on THUCNews dataset

## When to choose
- learning deep learning text classification with Chinese text
- need a simple, well-documented CNN/RNN classification baseline
- working with TensorFlow 1.x and character-level Chinese input

## When to avoid
- production systems needing modern maintained NLP libraries
- projects requiring TensorFlow 2.x or PyTorch
- multilingual or non-Chinese text classification

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, nlp, deep-learning
- domain: machine-learning, deep-learning
- platform: python
- tags: text-classification, cnn, rnn, chinese, tensorflow, tensorboard, tutorial, natural-language-processing

## Member repositories
- gaussic/text-classification-cnn-rnn (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:41.603657+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 2026-08-29T18:21:50.618792+00:00, confidence not recorded.
  - readme: https://github.com/gaussic/text-classification-cnn-rnn (fetched 2026-08-28T04:08:41.603657+00:00, sha 4adde9ef3cd9)
- Data as of 2026-08-30T08:39:29.467469+00:00.