Sentiment Analysis for Articles and Text Documents

A Sentiment Analysis application, with a Sentiment Analysis model behind the scene, can classify the text content in several categories. Typically the categories are Positive, Neutral, and Negative. There are other training datasets with different labels. The application of Sentiment Analysis is to verify the sentiment of written documents, e.g. UConn Today articles, departmental announcement, course announcement, etc. before the content is published to make sure the content delivers the desired sentiment (Check it out at HuskyAI platform)

Example 1: Positive Sentiment

UConn Magazine: Married to the Arts, Engineering — and Each Other

Example 2: Mixed Sentiment

Coronavirus testing: What top officials say went wrong