Term Frequency-Inverse Document Frequency weighs words based on their frequency in documents. Best for keyword-based searches.

Singular Value Decomposition identifies latent semantic relationships between words and documents. Good for finding conceptually related events.

Global Vectors for Word Representation captures semantic word relationships trained on vast text corpora. Best for nuanced meaning and context-aware searches.