Perform Sentiment Analysis Using AI

Part of a series exploring the use of LLMs to perform classic NLP tasks.

Project Description

This project aims to demonstrate how we can use the power of LLMs like ChatGPT to perform classic NLP tasks like sentiment analysis.

Data

The data was downloaded from Kaggle.

https://www.kaggle.com/datasets/jp797498e/twitter-entity-sentiment-analysis?select=twitter_validation.csv

Usage

Written in Python 3.9.9. Some technologies used:

• Jupyter Notebook
• OpenAI

To see the project in action, open and run the notebooks.

Meta

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

Contributing

1. Fork it (https://github.com/ecdedios/ai-nlp-sentiment-analysis/fork)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request

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