Yk5obm6ktdd0pjzkhipv
SkillsCast

Word Embeddings for Natural Language Processing in Python

29th April 2017 in London at CodeNode

There are 19 other SkillsCasts available from Data Science Festival 2017

Please log in to watch this conference skillscast.

Https s3.amazonaws.com prod.tracker2 resource 41088130 skillsmatter conference skillscast o9nohu

Word embeddings are a family of Natural Language Processing (NLP) algorithms where words are mapped to vectors in low-dimensional space. The interest around word embeddings has been on the rise in the past few years, because these techniques have been driving important improvements in many NLP applications like text classification, sentiment analysis or machine translation.

This talk will share the intuitions behind this family of algorithms. You will explore some of the Python tools that allow you to implement modern NLP applications, followed with some practical considerations.

YOU MAY ALSO LIKE:

Word Embeddings for Natural Language Processing in Python

Marco Bonzanini

Marco a freelance Data Scientist based in London, UK. Backed by a PhD in Information Retrieval. He specialises in search applications and text analytics applications, and enjoys working on a broad range of information management and data science projects. Active in the PyData community, he helps co-organising the PyData London meetup.

SkillsCast

Please log in to watch this conference skillscast.

Https s3.amazonaws.com prod.tracker2 resource 41088130 skillsmatter conference skillscast o9nohu

Word embeddings are a family of Natural Language Processing (NLP) algorithms where words are mapped to vectors in low-dimensional space. The interest around word embeddings has been on the rise in the past few years, because these techniques have been driving important improvements in many NLP applications like text classification, sentiment analysis or machine translation.

This talk will share the intuitions behind this family of algorithms. You will explore some of the Python tools that allow you to implement modern NLP applications, followed with some practical considerations.

YOU MAY ALSO LIKE:

About the Speaker

Word Embeddings for Natural Language Processing in Python

Marco Bonzanini

Marco a freelance Data Scientist based in London, UK. Backed by a PhD in Information Retrieval. He specialises in search applications and text analytics applications, and enjoys working on a broad range of information management and data science projects. Active in the PyData community, he helps co-organising the PyData London meetup.

Photos