EmotionalAI

By Amit Joshi

EmotionalAI is a machine learning model that classifies the given text to positive and negative sentiment.

How to Run:

1. Install necessary modules with sudo pip3 install -r requirements.txt command.
2. Go to src folder (if you want to change paths of files and folders, go to src/config.py).
3. Run python3 train.py to train and save the machine learning model.
4. Now Run python3 app.py and go to http://127.0.0.1:5000/ in your browser.
5. You will see the home page click the Let's Go button (or got to http://127.0.0.1:5000/sentiment.html) to go to sentiment classifier page.
6. Type in your text and hit the Get Results button.
7. To run this app from Streamlit. Run streamlit run streamlitapp.py.

Inside the model

• Dataset is provided in the data folder, which has been downloaded from here
• The features are extracted using Distilbert from huggingface which is a smaller distilled version of bert.
• Machine Learning model used was SVM.
• Frontend made using Html, CSS and a little bit of JavaScript.
• Backend made using Flask.

Please Give a 🌟 if you 👍 it.