Sentiment Analysis in Dataiku DSS (Plugin)
Recognize authors style using the Gutenberg plugin
Text Analysis with Plugins
Use Dataiku plugins for text analysis
This course covers two use cases for text analysis in Dataiku DSS:
(1) 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. Dataiku provides a plugin that allows you to compute binary sentiment scores for English text data.
We will show you how to:
- Install the sentiment analysis plugin
- Compute sentiment scores for text data
(2) DSS comes with the great possibility to extend DSS yourself and benefits from extensions written by the community. Plugins enable you to write your own custom recipes and datasets.
This tutorial is going to be less technical since we are just going to use a ready-to-use plugin. The Gutenberg plugin enables you to retrieve and parse books from the Project Gutenberg website directly into your DSS instance. However this tutorial assumes that you are already a little bit familiar with DSS.