New Features

• Added a basic sentiment analysis capability using a rule based approach (vader-sentiment). An item's sentiment gets computed by averaging the sentiment of sentences with high-polar sentiment score. This is available as an extra option to the NLP keyphrase extraction pipeline step.

• Added a new AI Studio ML template also which can be used for sentiment analysis by training the sentiment classifier on your own data.

Bug Fixes

• Fixed a bug where the modify requests on the project were failing because of invalid newsletter config.

• Fixed a bug where the project guide getting started screen was shown to the end users every time the users came back to their project.

• Fixed the migration script of pipeline steps to handle properly the config of pipelets.

Dependencies

• Included by default the rawapi dependency needed for the RAW labs dataloader plugin.

• Included a new dependency vaderSentiment used for rule based sentiment analysis.

Installation and Upgrading

For new installations please follow the Setup on Linux instructions.

To upgrade an existing installation, please consult the Upgrades for Squirro 3.2.0 and later guide.