https://github.com/timofurrer/embedeval

NLP Embeddings Evaluation Tool
https://github.com/timofurrer/embedeval

ai awesome hslu ml nlp wipro word-embeddings

Last synced: 14 days ago
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NLP Embeddings Evaluation Tool

• Host: GitHub
• URL: https://github.com/timofurrer/embedeval
• Owner: timofurrer
• License: mit
• Created: 2019-09-20T10:32:53.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-01-20T10:33:23.000Z (almost 5 years ago)
• Last Synced: 2024-11-15T13:12:17.124Z (about 2 months ago)
• Topics: ai, awesome, hslu, ml, nlp, wipro, word-embeddings
• Language: Python
• Homepage: https://embedeval.readthedocs.io
• Size: 18.7 MB
• Stars: 5
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# NLP Embeddings Evaluation Tool

[![PyPI License](https://img.shields.io/pypi/l/embedeval.svg)](https://github.com/timofurrer/embedeval/blob/master/LICENSE)




[![Actions Status](https://github.com/timofurrer/embedeval/workflows/CI/badge.svg)](https://github.com/timofurrer/embedeval/actions)

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[![PyPI version](https://badge.fury.io/py/embedeval.svg)](https://badge.fury.io/py/embedeval)

[![PyPI](https://img.shields.io/pypi/pyversions/embedeval.svg)](https://pypi.python.org/pypi/embedeval)

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***

The *NLP Embeddings Evaluation Tool* is a command line tool to evaluate Natural Language Processing Embeddings

using custom intrinsic and extrinsic tasks.

# Installation

embedeval is available as `pip` package:

```bash

python -m pip install embedeval

```

NOTE: it might not be installable as of today using pip with PyPI.

However, installing from source will work. Use `.` instead of `embedeval` in the pip command.

# Getting started

Run the `word-analogy` Task on your Word Embedding:

```bash

embedeval embedding.vec -t word-analogy

```

Run the `word-analogy` and `word-similarity` Tasks on your Word Embedding:

```bash

embedeval embedding.vec -t word-analogy -t word-similarity

```

# Documentation

The whole documentation of embedeval is available on [Read The Docs](http://embedeval.readthedocs.org).

# Supported platforms

embedeval is supported on Windows, Mac and Linux

# Contribution

Yes, we are looking for some contributors and people who spread out a word about embedeval. Help us to improve these piece of software. You don't know what to do?

Just have a look at the Issues or create a new one.

Please have a look at the [Contributing Guidelines](https://github.com/timofurrer/embedeval/blob/master/.github/CONTRIBUTING.md), too.

# Project Information

embedeval is released under the MIT license, its documentation lives at [Read The Docs](http://embedeval.readthedocs.org),

the code on [GitHub](https://github.com/timofurrer/embedeval),

and the latest release on [PyPI](https://pypi.org/project/embedeval).

It’s rigorously tested on Python 3.5+.

If you'd like to contribute to embedeval you're most welcome and we've written a [little guide](https://github.com/timofurrer/embedeval/blob/master/.github/CONTRIBUTING.md) to get you started!

***

*
This project is published under [MIT](LICENSE).
A [Timo Furrer](https://tuxtimo.me) project.
- :tada: -
*