Client library for accessing Cortical.io's Retina API.
Project Description
Cortical.io’s Retina API allows the user to perform semantic operations on text. One can for example:
- measure the semantic similarity between two written entities
- create a semantic classifier based on positive and negative example texts
- extract keywords from a text
- divide a text into sub-sections corresponding to semantic changes
- extract terms from a text based on part of speech tags
The meaning of terms and texts is stored in a sparse binary representation that allows the user to apply logical operators to refine the semantic representation of a concept.
You can read more about the technology at the documentation page.
To access the API, you will need to register for an API key.
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Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
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retinasdk-1.0.0-py2.py3-none-any.whl (21.8 kB) Copy SHA256 hash SHA256 | Wheel | py2.py3 | Feb 4, 2016 |
retinasdk-1.0.0.tar.gz (8.9 kB) Copy SHA256 hash SHA256 | Source | None | Feb 4, 2016 |