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Automated Machine Learning with AutoKeras
book

Automated Machine Learning with AutoKeras

by Luis Sobrecueva
May 2021
Intermediate to advanced content levelIntermediate to advanced
194 pages
3h 33m
English
Packt Publishing
Content preview from Automated Machine Learning with AutoKeras

Chapter 7: Sentiment Analysis Using AutoKeras

Let's start by defining the unusual term in the title. Sentiment analysis is a term that's widely used in text classification and it is basically about using natural language processing (NLP) in conjunction with machine learning (ML) to interpret and classify emotions in text.

To get an idea of this, let's imagine the task of determining whether a review for a film is positive or negative. You could do this yourself just by reading it, right? However, if our boss sends us a list of 1,000 movie reviews for tomorrow, things become complicated. That's where sentiment analysis becomes an interesting option.

In this chapter, we will use a text classifier to extract sentiments from text data. Most of the ...

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Publisher Resources

ISBN: 9781800567641Supplemental Content