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ad6bf1c 09c1749 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | import streamlit as st
st.set_page_config(page_title="YouTube Sentiment Analysis", page_icon="π¬")
st.title("π¬ YouTube Comment Sentiment Analysis")
st.markdown("""
## π **Project Introduction**
**Welcome to the YouTube Comment Sentiment Classifier App!** β¨
This project is an end-to-end machine learning pipeline that:
π― Extracts real-world YouTube comments using the **YouTube Data API v3**
π§Ή Cleans and preprocesses the comment data
π§ Trains a **Logistic Regression** model using **TF-IDF Vectorization**
π― Predicts Sentiment as **Positive, Negative, or Neutral**
π Built with **Python** and **Streamlit**
---
### π¨βπ» **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") |