Jack Dermody

Sentiment analysis

Sentiment Analysis

Sentiment classification is the task of getting a computer to decide if a sentence contains positive or negative words about the things it describes. This is how aggregate reviews can be formed that capture the majority sentiment about particular aspects of products and services. This tutorial shows how you can use Bright Wire to train three different models on a simple sentiment classification data set and then to evaluate those models on random text that you type into the console. You'll need to download a sentiment classification data set and unzip it to a directory on your machine.