Terminological and Ontological Coverage
Terminological and Ontological Coverage is a package designed for keyword and ontology comparison. This package allows users to extract keywords from documents using various methods and compare their coverage against specified ontologies.
Features
- Extract keywords using:
- RAKE
- Rake-NLTK
- KeyBERT
- Compare extracted keywords against one or more ontologies.
- Calculate and display weighted keyword coverage.
- Output results to CSV files.
- Optionally use custom keywords and scores.
Installation
Install the package using pip:
pip install terminological-ontological-coverage
1 maintainer
Metadata
1 maintainer
Release files for terminological-ontological-coverage 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| terminological_ontological_coverage-1.0.1.tar.gz | 7.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| terminological_ontological_coverage-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.5 kB
Release files / terminological_ontological_coverage-1.0.1.tar.gz
| Download URL | terminological_ontological_coverage-1.0.1.tar.gz |
|---|---|
| Size | 7.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.8.1
|
Release files / terminological_ontological_coverage-1.0.1-py3-none-any.whl
| Download URL | terminological_ontological_coverage-1.0.1-py3-none-any.whl |
|---|---|
| Size | 9.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.8.1
|
