Lecture

Word Embeddings: Lab Session

Description

This lecture covers the implementation of a basic search engine using word embeddings, where students are tasked with visualizing, interpreting, and computing cosine similarity to rank words based on a given input term. The exercise involves aggregating word embeddings for tweets and queries, and ranking tweets based on cosine distances.

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