A sentiment analysis server implementation. Designed to be extendable, so new algorithms and sources can be used.
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, Marl, Onyx) and formats (turtle, JSON-LD, xml-rdf).
Have you ever wanted to turn your sentiment analysis algorithms into a service? With senpy, now you can. It provides all the tools so you just have to worry about improving your algorithms:
The stable version can be installed in three ways.
pip install --user senpy
Alternatively, you can use the development version:
git clone email@example.com:gsi-upm/senpy
pip install --user .
If you want to install senpy globally, use sudo instead of the --user flag.
Build the image or use the pre-built one: docker run -ti -p 5000:5000 balkian/senpy --host 0.0.0.0 --default-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 balkian/senpy --host 0.0.0.0 --default-plugins -f /plugins
However, the easiest and recommended way is to just use the command-line tool to load your plugins and launch the server.
python -m senpy
This will create a server with any modules found in the current path. For more options, see the –help page.
Alternatively, you can use the modules included in senpy to build your own application.
Deploying on Heroku
Use a free heroku instance to share your service with the world. Just use the example Procfile in this repository, or build your own.
For more information, check out the documentation.
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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