Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...

Abstract: Social media platforms, particularly Twitter, have become vital sources for understanding public sentiment due to the rapid, large-scale generation of user opinions. Sentiment analysis of ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...