Wasim37/knowledge-automatic-tagging
知识点分类
Automatically assigns tags to educational content, such as exam questions or learning materials. You input a collection of raw educational text data, and it outputs organized content with relevant knowledge point tags. This is ideal for educators, content developers, or anyone managing large banks of learning resources.
No commits in the last 6 months.
Use this if you need to quickly and consistently categorize a large volume of educational questions or knowledge points.
Not ideal if your content is not text-based or if you require very granular, human-in-the-loop expert tagging for highly nuanced topics.
Stars
9
Forks
3
Language
Python
License
—
Last pushed
Dec 07, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Wasim37/knowledge-automatic-tagging"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
gaussic/text-classification-cnn-rnn
CNN-RNN中文文本分类，基于TensorFlow
ShawnyXiao/TextClassification-Keras
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN,...
prakashpandey9/Text-Classification-Pytorch
Text classification using deep learning models in Pytorch
TobiasLee/Text-Classification
Implementation of papers for text classification task on DBpedia
FreedomIntelligence/TextClassificationBenchmark
A Benchmark of Text Classification in PyTorch