mirror of
https://github.com/gsi-upm/senpy
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27 lines
1.1 KiB
ReStructuredText
27 lines
1.1 KiB
ReStructuredText
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Developing new services
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Developing web services can be hard.
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To illustrate it, the figure below summarizes the typical features in a text analysis service.
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.. image:: senpy-framework.png
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:width: 60%
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:align: center
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Senpy implements all the common blocks, so developers can focus on what really matters: great analysis algorithms that solve real problems.
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Among other things, Senpy takes care of these tasks:
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* Interfacing with the user: parameter validation, error handling.
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* Formatting: JSON-LD, Turtle/n-triples input and output, or simple text input
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* Linked Data: senpy results are semantically annotated, using a series of well established vocabularies, and sane default URIs.
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* User interface: a web UI where users can explore your service and test different settings
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* A client to interact with the service. Currently only available in Python.
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You only need to provide the algorithm to turn a piece of text into an annotation
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Sharing your sentiment analysis with the world has never been easier!
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.. toctree::
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:maxdepth: 1
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plugins-quickstart
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plugins-faq
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