Web Scraping & Analysis for Crime News
This project involved comprehensive web scraping of crime-related news from New York sources. I implemented sentiment analysis algorithms to score the emotional content of news articles and created time-series visualizations to track how public sentiment around crime news evolved over time. The analysis provided valuable insights into media coverage patterns and public perception trends.
Project Overview
This project involved comprehensive web scraping of crime-related news from New York sources. I implemented sentiment analysis algorithms to score the emotional content of news articles and created time-series visualizations to track how public sentiment around crime news evolved over time. The analysis provided valuable insights into media coverage patterns and public perception trends.
Technologies Used
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