Text Representation with Word Embeddings: NLP Beginner Tutorial - S2 E7

This tutorial explores the impact of word embeddings like Word2Vec, GloVe, and fastText on NLP, providing foundational knowledge for beginners and discussing recent transformer-based approaches.

Text Representation with Word Embeddings: NLP Beginner Tutorial - S2 E7
codebasics
65.9K views • Sep 8, 2022
Text Representation with Word Embeddings: NLP Beginner Tutorial - S2 E7

About this video

Word embeddings have revolutionized NLP in the last few years. Word2vec, Glove, fastText are a few popular word embedding techniques. New transformer-based word and document embedding techniques such as BERT, GPT, ElMo are further advancing the arena of representing text accurately in form of a dense vector. In this video, we will have an overview of word embedding. There is no coding in this video.

Full tutorial on Word2vec: https://www.youtube.com/watch?v=hQwFeIupNP0

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Video Information

Views

65.9K

Likes

1.4K

Duration

8:11

Published

Sep 8, 2022

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