Metadata-Version: 2.1
Name: lda-over-time
Version: 0.2.0
Project-URL: Documentation, https://github.com/lda-over-time/lda-over-time#readme
Project-URL: Issues, https://github.com/lda-over-time/lda-over-time/issues
Project-URL: Source, https://github.com/lda-over-time/lda-over-time
Author-email: Willian Ozako <willian.ozako@gmail.com>
License-File: COPYING
License-File: COPYING.LESSER
Classifier: Development Status :: 3 - Alpha
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.7
Requires-Dist: gensim
Requires-Dist: pyldavis
Requires-Dist: seaborn
Description-Content-Type: text/markdown

# Lda Over Time

[![PyPI - Version](https://img.shields.io/pypi/v/lda-over-time.svg)](https://pypi.org/project/lda-over-time)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/lda-over-time.svg)](https://pypi.org/project/lda-over-time)

-----

**Table of Contents**

- [About](#about)
- [Installation](#installation)
- [Tutorial](#tutorial)
- [License](#license)

## About

LdaOverTime is a framework that brings an easier way of doing Topic Modeling 
Analysis Over Time and get visualization of results.

In brief, Topic Modeling is a technique that finds topics that each document 
from a collection covers. And, by addind the time in this equation, we can 
study how much and why one certain topic is more or less discussed in a 
time slice.

## Installation

```console
pip install lda-over-time
```

## Tutorial
You can check out the library's tutorial and small example of usage at 
[notebooks/tutorial.ipynb](https://github.com/lda-over-time/lda-over-time/blob/develop/notebooks/tutorial.ipynb).


## License

`lda-over-time` is distributed under the terms of the 
[LGPL3](https://github.com/lda-over-time/lda-over-time/blob/develop/COPYING).

