stephenhky/PyShortTextCategorization
A Python package for supervised and unsupervised short text categorization using topic modeling, word embeddings, and neural network algorithms.
Not currently ranked — collecting fresh signals.
star history
The shorttext package provides algorithms for short text mining and classification in Python. It addresses the sparseness problem in short texts by offering intermediate representations including topic modeling and pre-trained word embeddings. It supports both supervised and unsupervised learning approaches for text categorization tasks, and runs on Python 3.11-3.13.
Frequently asked
- What is stephenhky/PyShortTextCategorization?
- A Python package for supervised and unsupervised short text categorization using topic modeling, word embeddings, and neural network algorithms.
- Is PyShortTextCategorization open source?
- Yes — stephenhky/PyShortTextCategorization is open source, released under the MIT license.
- What language is PyShortTextCategorization written in?
- stephenhky/PyShortTextCategorization is primarily written in Python.
- How popular is PyShortTextCategorization?
- stephenhky/PyShortTextCategorization has 471 stars on GitHub.
- Where can I find PyShortTextCategorization?
- stephenhky/PyShortTextCategorization is on GitHub at https://github.com/stephenhky/PyShortTextCategorization.