TrendTracker : Real Time Sentiment Analysis Dashboard Overview

Описание: Check out TrendTrackr, a real-time sentiment analysis dashboard built with Python and Streamlit. Analyze public perception of any topic instantly!

📈 Try the live app here: [https://sentiment-analysis-dashboard-awaqv...]

This project demonstrates a complete, end-to-end data science application. TrendTrackr fetches the latest news headlines from the NewsAPI, performs sentiment analysis on each article using the VADER model, and visualizes the results in an interactive dashboard. The goal is to provide a quick, data-driven overview of public sentiment and track how it changes over time.

Key Features Showcased:
📊 Real-time data fetching and sentiment analysis.

📈 Time-series analysis to track sentiment trends.

☁️ Positive & Negative word clouds for at-a-glance insights.

⚙️ Efficient API caching and a custom, polished user interface.

📥 CSV data export for further analysis.

Tech Stack:
Framework: Streamlit

Data Source: NewsAPI.org

Analysis: VADER, Pandas

Visualization: Plotly Express, WordCloud

Code Repository:
View the full source code on GitHub: [https://github.com/CoderSaikat345/sentimen...]

#streamlit #python #datascience #sentimentanalysis #portfolioprojects #NLP #datavisualization