Text Classification (Embed)

This notebook shows how to build a classifiers using Cohere's embeddings. You can find the code on Github or in this colab notebook.

The example classification task here will be sentiment analysis of film reviews. We'll train a simple classifier to detect whether a film review is negative (class 0) or positive (class 1).

We'll go through the following steps:

1. Install Cohere
2. Get the dataset
3. Get the embeddings of the reviews (for both the training set and the test set)
4. Train a classifier using the training set
5. Evaluate the performance of the classifier on the testing set