Natural Language Processing with Code (Open)

Build a convolutional network for sentiment analysis, using Keras code in Dataiku’s Visual Machine Learning tool.

Natural Language Processing with Code (Open)

Curriculum

About this course

About this course

Binary Sentiment Analysis is the task of automatically analyzing a text data to decide whether it is positive or negative. This is useful when faced with a lot of text data that would be too time-consuming to manually label. In Dataiku you can build a convolutional neural network model for binary sentiment analysis.

This how-to walks through how to build a convolutional network for sentiment analysis, using Keras code in Dataiku’s Visual Machine Learning. After building an initial model, we’ll use pre-trained word embeddings to improve the preprocessing of inputs, and then evaluate both models on test data.