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| import streamlit as st | |
| st.set_page_config(page_title="YouTube Sentiment Analysis", page_icon="🎬") | |
| st.title("🎬 YouTube Comment Sentiment Analysis") | |
| st.markdown(""" | |
| ## 📌 **Project Introduction** | |
| **Welcome to the YouTube Comment Sentiment Classifier App!** ✨ | |
| This project is an end-to-end machine learning pipeline that: | |
| 🎯 Extracts real-world YouTube comments using the **YouTube Data API v3** | |
| 🧹 Cleans and preprocesses the comment data | |
| 🧠 Trains a **Logistic Regression** model using **TF-IDF Vectorization** | |
| 🎯 Predicts Sentiment as **Positive, Negative, or Neutral** | |
| 🚀 Built with **Python** and **Streamlit** | |
| --- | |
| ### 👨💻 **Project by:** | |
| **Srikanth Gunti** | |
| A Postgraduate Data Science Student | |
| Nizam College, Osmania University | |
| --- | |
| """) | |
| if st.button("Next"): | |
| st.switch_page("pages/1_Data_Overview.py") |