Lecture

Word Embeddings: Lab Session

In course

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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.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_8fhsm19b

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Ontological neighbourhood

Information engineering

Natural language processing: Topics in natural language processing

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