This repository contains Flask and FastAPI applications that allows one to enter text data. Then, the program determines whether the text is positive or negative.
The model used was trained on a dataset from Twitter available at Kaggle
If you are interested on how the model was trained, you can check out my article in Medium https://medium.com/@richardodhiambo/getting-started-with-sentiment-analysis-9713509b8db1. I hope you found this article informative and helpful. If you have any feedback or suggestions on how I can improve my approach or the model, please feel free to share your thoughts in the comments section. I would love to hear your feedback and engage with you on this topic!
The repository is organised into three folders.
This is an implementation of the program using FastAPI.
This is an implementation of the program using Flask.
This contains the settings for Visual Studio Code.
The author of this project is Richard Odhiambo.
You can find me here at: Github
This project is licensed under the MIT License.