Sentiment analysis
What is the code we used to test Colab? It is an example of sentiment analysis developed on top of the IMDB dataset. The IMDB dataset contains the text of 50,000 movie reviews from the Internet Movie Database. Each review is either positive or negative (for example, thumbs up or thumbs down). The dataset is split into 25,000 reviews for training and 25,000 reviews for testing. Our goal is to build a classifier that can predict the binary judgment given the text. We can easily load IMDB via tf.keras and the sequences of words in the reviews have been converted to sequences of integers, where each integer represents a specific word in a dictionary. We also have a convenient way of padding sentences to max_len, so that we can use all sentences, whether short or long, as inputs to a neural network with an input vector of fixed size:
import tensorflow as tf
from tensorflow.keras import datasets, layers, models, preprocessing
import tensorflow_datasets as tfds
max_len...
