March 2018
Intermediate to advanced
272 pages
7h 53m
English
Content preview from Deep Learning Quick Reference
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Sentiment analysis with Keras embedding layers and LSTMs
The first case study in this chapter will demonstrate sentiment analysis. In this example, we will get to apply most of the things we have learned in the chapter.
We will be using a dataset built into Keras from the Internet Movie DataBase (IMDB). This dataset contains 25,000 movies reviews, each labeled by sentiment. Positive reviews are labeled 1 and negative reviews are labeled 0. Every word in this dataset has been replaced with an integer that identifies it. Each review has been encoded as a sequence of word indexes.
Our goal will be to classify movie reviews as either a positive or negative review using only the text in that review.