senpy/example-plugins/README.md

This is a collection of plugins that exemplify certain aspects of plugin development with senpy.

The first series of plugins are the basic ones. Their starting point is a classification function defined in basic.py. They all include testing and running them as a script will run all tests. In ascending order of customization, the plugins are:

• Basic is the simplest plugin of all. It leverages the SentimentBox Plugin class to create a plugin out of a classification method, and MappingMixin to convert the labels from (pos, neg) to (marl:Positive, marl:Negative
• Basic_box is just like the previous one, but replaces the mixin with a custom function.
• Basic_configurable is a version of basic with a configurable map of emojis for each sentiment.
• Basic_parameterized like basic_info, but users set the map in each query (via extra_parameters).
• Basic_analyse_entry uses the more general analyse_entry method and adds the annotations individually.

In rest of the plugins show advanced topics:

• mynoop: shows how to add a definition file with external requirements for a plugin. Doing this with a python-only module would require moving all imports of the requirements to their functions, which is considered bad practice.
• Async: a barebones example of training a plugin and analyzing data in parallel.

All of the plugins in this folder include a set of test cases and they are periodically tested with the latest version of senpy.

Additioanlly, for an example of stand-alone plugin that can be tested and deployed with docker, take a look at: lab.gsi.upm.es/senpy/plugin-example bbm