Senpy lets you create sentiment analysis web services easily, fast and using a well known API.
Senpy lets you create sentiment analysis web services easily, fast and using a well known API.
As a bonus, senpy services use semantic vocabularies (e.g. `NIF <http://persistence.uni-leipzig.org/nlp2rdf/>`_, `Marl <http://www.gsi.dit.upm.es/ontologies/marl>`_, `Onyx <http://www.gsi.dit.upm.es/ontologies/onyx>`_) and formats (turtle, JSON-LD, xml-rdf).
As a bonus, Senpy services use semantic vocabularies (e.g. `NIF <http://persistence.uni-leipzig.org/nlp2rdf/>`_, `Marl <http://www.gsi.dit.upm.es/ontologies/marl>`_, `Onyx <http://www.gsi.dit.upm.es/ontologies/onyx>`_) and formats (turtle, JSON-LD, xml-rdf).
Have you ever wanted to turn your sentiment analysis algorithms into a service?
Have you ever wanted to turn your sentiment analysis algorithms into a service?
With senpy, now you can.
With Senpy, now you can.
It provides all the tools so you just have to worry about improving your algorithms:
It provides all the tools so you just have to worry about improving your algorithms:
`See it in action. <http://senpy.gsi.upm.es/>`_
`See it in action. <http://senpy.gsi.upm.es/>`_
@ -43,20 +41,36 @@ Alternatively, you can use the development version:
cd senpy
cd senpy
pip install --user .
pip install --user .
If you want to install senpy globally, use sudo instead of the ``--user`` flag.
If you want to install Senpy globally, use sudo instead of the ``--user`` flag.
Docker Image
Docker Image
************
************
Build the image or use the pre-built one: ``docker run -ti -p 5000:5000 gsiupm/senpy``.
Build the image or use the pre-built one: ``docker run -ti -p 5000:5000 gsiupm/senpy``.
To add custom plugins, add a volume and tell senpy where to find the plugins: ``docker run -ti -p 5000:5000 -v <PATH OF PLUGINS>:/plugins gsiupm/senpy -f /plugins``
To add custom plugins, add a volume and tell Senpy where to find the plugins: ``docker run -ti -p 5000:5000 -v <PATH OF PLUGINS>:/plugins gsiupm/senpy -f /plugins``
Compatibility
-------------
Senpy should work in any major operating system.
Its code is pure Python, and the only limitations are imposed by its dependencies (e.g., nltk, pandas).
Currently, the CI/CD pipeline tests the code on:
* GNU/Linux with Python versions 3.4, 3.5, 3.6 and 3.7
* MacOS and homebrew's python3
* Windows 10 and chocolatey's python3
The latest PyPI package is verified to install on Ubuntu, Debian and Arch Linux.
If you have trouble installing Senpy in your platform, see `Having problems?`_.
Developing
Developing
----------
----------
Developing/debugging
Running/debugging
********************
*****************
This command will run the senpy container using the latest image available, mounting your current folder so you get your latest code:
This command will run the senpy container using the latest image available, mounting your current folder so you get your latest code:
..code:: bash
..code:: bash
@ -119,7 +133,7 @@ or, alternatively:
This will create a server with any modules found in the current path.
This will create a server with any modules found in the current path.
For more options, see the `--help` page.
For more options, see the `--help` page.
Alternatively, you can use the modules included in senpy to build your own application.
Alternatively, you can use the modules included in Senpy to build your own application.
Deploying on Heroku
Deploying on Heroku
-------------------
-------------------
@ -127,9 +141,6 @@ Use a free heroku instance to share your service with the world.
Just use the example Procfile in this repository, or build your own.
Just use the example Procfile in this repository, or build your own.
`DEMO on heroku <http://senpy.herokuapp.com>`_
For more information, check out the `documentation <http://senpy.readthedocs.org>`_.
For more information, check out the `documentation <http://senpy.readthedocs.org>`_.
J. Fernando Sánchez
5 years ago