Part of a series exploring the use of LLMs to perform classic NLP tasks.
With the help of LangChain, this project aims to demonstrate how we can use the power of LLMs like ChatGPT to perform classic NLP tasks like named-entity-recognition.
This dataset was created from the "Trump Twitter Archive" that used to be house at http://www.trumptwitterarchive.com/archive.
Written in Python 3.9.9. Some technologies used:
- OpenAI
- LangChain
To see the project in action, open and run the notebooks.
Ednalyn C. De Dios – @ecdedios
Distributed under the MIT license. See LICENSE
for more information.
- LinkedIn: in/ecdedios/
- Resumé: http://ednalyn.com
- Data Science Projects https://datasciencenerd.us
- Fork it (https://github.com/ecdedios/ai-nlp-named-entity-recognition/fork)
- Create your feature branch (
git checkout -b feature/fooBar
) - Commit your changes (
git commit -am 'Add some fooBar'
) - Push to the branch (
git push origin feature/fooBar
) - Create a new Pull Request
2024