Snips Natural Language Understanding library
Project description
Snips NLU
=========
.. image:: https://travis-ci.org/snipsco/snips-nlu.svg?branch=develop
:target: https://travis-ci.org/snipsco/snips-nlu
.. image:: https://img.shields.io/pypi/v/snips-nlu.svg?branch=develop
:target: https://pypi.python.org/pypi/snips-nlu
.. image:: https://img.shields.io/pypi/pyversions/snips-nlu.svg?branch=develop
:target: https://pypi.python.org/pypi/snips-nlu
.. image:: https://codecov.io/gh/snipsco/snips-nlu/branch/develop/graph/badge.svg
:target: https://codecov.io/gh/snipsco/snips-nlu
`Snips NLU <https://snips-nlu.readthedocs.io>`_ (Natural Language Understanding) is a Python library that allows to parse sentences written in natural language and extracts structured information.
Installing
----------
.. code-block:: python
pip install snips-nlu
A simple example
----------------
Let’s take an example to illustrate the main purpose of this lib, and consider the following sentence:
.. code-block:: text
"What will be the weather in paris at 9pm?"
Properly trained, the Snips NLU engine will be able to extract structured data such as:
.. code-block:: json
{
"intent": {
"intentName": "searchWeatherForecast",
"probability": 0.95
},
"slots": [
{
"value": "paris",
"entity": "locality",
"slotName": "forecast_locality"
},
{
"value": {
"kind": "InstantTime",
"value": "2018-02-08 20:00:00 +00:00"
},
"entity": "snips/datetime",
"slotName": "forecast_start_datetime"
}
]
}
Documentation
-------------
To find out how to use Snips NLU please refer to our `documentation <https://snips-nlu.readthedocs.io>`_, it will provide you with a step-by-step guide on how to use and setup our library.
Links
-----
* `Snips NLU <https://github.com/snipsco/snips-nlu>`_
* `Snips <https://snips.ai/>`_
* `Rustling <https://github.com/snipsco/rustling-ontology>`_ (Snips NLU builtin entities parser)
* `Bug tracker <https://github.com/snipsco/snips-nlu/issues>`_
=========
.. image:: https://travis-ci.org/snipsco/snips-nlu.svg?branch=develop
:target: https://travis-ci.org/snipsco/snips-nlu
.. image:: https://img.shields.io/pypi/v/snips-nlu.svg?branch=develop
:target: https://pypi.python.org/pypi/snips-nlu
.. image:: https://img.shields.io/pypi/pyversions/snips-nlu.svg?branch=develop
:target: https://pypi.python.org/pypi/snips-nlu
.. image:: https://codecov.io/gh/snipsco/snips-nlu/branch/develop/graph/badge.svg
:target: https://codecov.io/gh/snipsco/snips-nlu
`Snips NLU <https://snips-nlu.readthedocs.io>`_ (Natural Language Understanding) is a Python library that allows to parse sentences written in natural language and extracts structured information.
Installing
----------
.. code-block:: python
pip install snips-nlu
A simple example
----------------
Let’s take an example to illustrate the main purpose of this lib, and consider the following sentence:
.. code-block:: text
"What will be the weather in paris at 9pm?"
Properly trained, the Snips NLU engine will be able to extract structured data such as:
.. code-block:: json
{
"intent": {
"intentName": "searchWeatherForecast",
"probability": 0.95
},
"slots": [
{
"value": "paris",
"entity": "locality",
"slotName": "forecast_locality"
},
{
"value": {
"kind": "InstantTime",
"value": "2018-02-08 20:00:00 +00:00"
},
"entity": "snips/datetime",
"slotName": "forecast_start_datetime"
}
]
}
Documentation
-------------
To find out how to use Snips NLU please refer to our `documentation <https://snips-nlu.readthedocs.io>`_, it will provide you with a step-by-step guide on how to use and setup our library.
Links
-----
* `Snips NLU <https://github.com/snipsco/snips-nlu>`_
* `Snips <https://snips.ai/>`_
* `Rustling <https://github.com/snipsco/rustling-ontology>`_ (Snips NLU builtin entities parser)
* `Bug tracker <https://github.com/snipsco/snips-nlu/issues>`_
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
snips_nlu-0.12.1.tar.gz
(6.2 MB
view hashes)
Built Distribution
Close
Hashes for snips_nlu-0.12.1-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 77283ffdd8985d1a0d5b6ef8a97a875f38be330f2ef2afcba8c8483d2c45a6fa |
|
MD5 | 80e5f580d19bb83328bcb16f54921422 |
|
BLAKE2b-256 | d35d32229a3fe0912768364cfbbf96bd022202f016e85ab71e81fa62158561bf |