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https://github.com/gsi-upm/senpy
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141 lines
3.4 KiB
ReStructuredText
141 lines
3.4 KiB
ReStructuredText
.. image:: img/header.png
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:width: 100%
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:target: http://demos.gsi.dit.upm.es/senpy
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.. image:: https://travis-ci.org/gsi-upm/senpy.svg?branch=master
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:target: https://travis-ci.org/gsi-upm/senpy
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Senpy lets you create sentiment analysis web services easily, fast and using a well known API.
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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).
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Have you ever wanted to turn your sentiment analysis algorithms into a service?
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With senpy, now you can.
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It provides all the tools so you just have to worry about improving your algorithms:
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`See it in action. <http://senpy.cluster.gsi.dit.upm.es/>`_
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Installation
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------------
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The stable version can be installed in three ways.
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Through PIP
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***********
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.. code:: bash
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pip install -U --user senpy
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Alternatively, you can use the development version:
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.. code:: bash
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git clone http://github.com/gsi-upm/senpy
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cd senpy
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pip install --user .
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If you want to install senpy globally, use sudo instead of the ``--user`` flag.
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Docker Image
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************
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Build the image or use the pre-built one: ``docker run -ti -p 5000:5000 gsiupm/senpy --default-plugins``.
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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 --default-plugins -f /plugins``
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Developing
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----------
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Developing/debugging
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********************
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This command will run the senpy container using the latest image available, mounting your current folder so you get your latest code:
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.. code:: bash
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# Python 3.5
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make dev
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# Python 2.7
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make dev-2.7
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Building a docker image
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***********************
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.. code:: bash
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# Python 3.5
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make build-3.5
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# Python 2.7
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make build-2.7
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Testing
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*******
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.. code:: bash
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make test
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Running
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*******
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This command will run the senpy server listening on localhost:5000
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.. code:: bash
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# Python 3.5
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make run-3.5
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# Python 2.7
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make run-2.7
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Usage
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-----
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However, the easiest and recommended way is to just use the command-line tool to load your plugins and launch the server.
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.. code:: bash
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senpy
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or, alternatively:
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.. code:: bash
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python -m senpy
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This will create a server with any modules found in the current path.
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For more options, see the `--help` page.
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Alternatively, you can use the modules included in senpy to build your own application.
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Deploying on Heroku
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-------------------
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Use a free heroku instance to share your service with the world.
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Just use the example Procfile in this repository, or build your own.
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`DEMO on heroku <http://senpy.herokuapp.com>`_
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For more information, check out the `documentation <http://senpy.readthedocs.org>`_.
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------------------------------------------------------------------------------------
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Acknowledgement
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---------------
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This development has been partially funded by the European Union through the MixedEmotions Project (project number H2020 655632), as part of the `RIA ICT 15 Big data and Open Data Innovation and take-up` programme.
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.. image:: img/me.png
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:target: http://mixedemotions-project.eu
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:height: 100px
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:alt: MixedEmotions Logo
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.. image:: img/eu-flag.jpg
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:height: 100px
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:target: http://ec.europa.eu/research/participants/portal/desktop/en/opportunities/index.html
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