Spaces:
Sleeping
Sleeping
| import streamlit as st | |
| st.title("📊 Data Collection & Preprocessing") | |
| st.markdown(""" | |
| ### 🔍 **YouTube Comment Extraction** | |
| ✅ Used **YouTube Data API v3** via the **requests** library and **API Key** authentication | |
| 📹 Extracted comments from 150+ video IDs across balanced sentiment categories: | |
| 🟢 **Positive:** "heartwarming reunion", "feel good moments" | |
| 🔴 **Negative:** "controversial incident", "bad customer experience" | |
| ⚪ **Neutral:** "tech reviews", "travel vlogs" | |
| 📈 Gathered over **15,000** top-level comments using pagination (nextPageToken) | |
| 💾 Data saved into a **JSON** format with keys: **video_id** and **comment** | |
| --- | |
| ### 🧹 **Text Preprocessing Steps** | |
| ✅ Removed HTML tags, emojis, special characters, and links | |
| 🔡 Converted text to lowercase | |
| 🧽 Removed stopwords and non-alphabetic tokens | |
| 🧠 Applied **tokenization** | |
| The cleaned text was used to train our **sentiment classifier** in the next step. | |
| --- | |
| """) | |
| if st.button("Next"): | |
| st.switch_page("pages/2_Model_Training.py") | |
| if st.button("Go to Home"): | |
| st.switch_page("app.py") |