News API Project

This project showcases a comprehensive solution for integrating with a News API, performing sentiment analysis on news articles, and visualizing real-time data through a dynamic Power BI dashboard. Leveraging Python, Pandas, and News API, this project combines the power of data transformation and analysis to provide actionable insights into news sentiment across various categories.

Key Features

API Integration:

• Seamless integration with the News API to fetch real-time news data across diverse categories.
• Efficient handling of API responses using Python requests for data retrieval.

Sentiment Analysis:

• Utilization of Natural Language Processing (NLP) techniques to perform sentiment analysis on news headlines.
• Classification of news articles into positive and negative sentiments using the SentimentIntensityAnalyzer from the NLTK library.

Data Transformation (Pandas)

• Pandas is employed for data manipulation and transformation, creating a structured DataFrame for efficient analysis.
• Grouping and aggregating data to generate insightful summaries for different news categories and sentiment types.

Real-Time Dashboard (Power BI):

• Dynamic integration with Power BI to create a real-time dashboard for visualizing sentiment trends.
• Pushing sentiment data to Power BI at regular intervals for up-to-the-minute insights.