Sentiment Analysis Web App

• Analyze sentiment from user input text
• Display sentiment prediction results
• Preprocess text using NLP techniques
• Deploy the model with a simple web interface

Follow these steps in order. Each one builds on the previous.

1. Step 1

   Collect or download a sentiment dataset

2. Step 2

   Preprocess text data by cleaning and tokenizing

3. Step 3

   Convert text into numerical features

4. Step 4

   Build a simple sentiment prediction model

5. Step 5

   Test predictions with sample text inputs

6. Step 6

   Build a Flask app for user interaction

7. Step 7

   Connect the trained model to the web app

8. Step 8

   Test the application with sample text inputs

• Flask documentation
• scikit-learn text tutorial
• NLTK documentation
• Tokenization