https://github.com/ericzon/basic-intent-classification
https://github.com/ericzon/basic-intent-classification
Last synced: over 1 year ago
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- Host: GitHub
- URL: https://github.com/ericzon/basic-intent-classification
- Owner: ericzon
- Created: 2024-02-01T07:22:03.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-01T07:28:35.000Z (over 2 years ago)
- Last Synced: 2025-01-23T22:17:44.862Z (over 1 year ago)
- Language: Python
- Size: 13.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
Basic intent classification
==========================
This is just a simple basic example of NLU using TF-IDF & SVM for intent classification.
Pre requisites:
- To have poetry installed
Run code:
```
poetry install
poetry run start
```
Other options for NLU depending on the needs:
- SpaCy
- Keras
- CNN
- LLM
...
Disclaimer: The accuracy will appear very low due to corpus size.
**Troubleshooting**
- If some error appears related with missing corpora/wordnet, take a look to this post: https://stackoverflow.com/questions/13965823/resource-corpora-wordnet-not-found-on-heroku