title | emoji | colorFrom | colorTo | sdk | sdk_version | app_file | pinned | license |
---|---|---|---|---|---|---|---|---|
Twitter Sentiment |
🤓 |
purple |
purple |
gradio |
3.0.6 |
src/frontend.py |
false |
cc |
Automated real-time sentiment analysis
This application monitors the public's sentiment about chatgpt on Twitter and presents it with a geographical visualization.
This project leverages the Twitter API to gather real-time sentiment analysis of tweets mentioning "chatgpt". Using machine learning, each tweet is analyzed for sentiment and the resulting data is stored in a feature store. The automation of this process is achieved through the use of Github actions, which also facilitates the continuous deployment of the application to a Huggingface space.
- How to build a package with Poetry
- How to use Github actions to establish continuous delivery of an application
- How to build and query a feature store using Hopsworks
- How to deploy a basic application in a Hugging Face Space
- How to perform sentiment analysis using Hugging Face transformers