Binary Sentiment Classifier Training

In course

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Description

This lecture covers the training of a binary sentiment classifier using a Recurrent Neural Network (RNN) architecture. The topics include data preprocessing (tokenization, stop word removal, lemmatization), training a word embedding model, and training, testing, and improving an RNN. The instructor guides through the process until the exercise session on October 4th.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_o487l5zj

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

Natural language processing: Topics in natural language processing

Mathematics

Analysis: Tensor analysis

Computer engineering

Software development: Software development process

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