In AdaptiveWork, projects often include text fields, such as comment boxes, where users can share their thoughts or observations.

While this provides valuable insights, manually reviewing and evaluating these unstructured texts can be time-consuming. Sentiment analysis uses natural language processing (NLP) powered by a large language model to automatically assess the tone of these entries—categorizing them as positive, neutral, or negative.

This automated analysis helps you quickly gauge the overall sentiment, serving as an early risk indicator. Negative sentiments can highlight potential bottlenecks, while positive feedback can confirm project health and progress.
 

For more details on the basics, setup, and current limitations of Sentiment Analysis, check out the Sentiment Analysis Release Notes