Metadata-Version: 2.1
Name: st_dc
Version: 1.0.0
Summary: Same Text, Different Context: A package for visualizing contextual word embeddings
Home-page: https://github.com/suneel-nadipalli/st-dc
Author: Suneel Nadipalli
Author-email: nsuneel89@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: transformers>=4.0.0
Requires-Dist: torch>=1.9.0
Requires-Dist: numpy>=1.19.0
Requires-Dist: scikit-learn>=0.24.0
Requires-Dist: plotly>=5.0.0

# Context Explorer

Context Explorer is a Python package for visualizing contextual word embeddings and their neighbors across different contexts.

## Features

- Extract embeddings for focus words using pretrained language models.
- Generate context-specific neighbor words.
- Visualize embeddings in 2D or 3D.

## Installation

```bash
pip install context-explorer
