How To Perform Sentiment Analysis And Classification On Text (in Java)

Sentiment analysis is a field of Natural Language Processing (NLP) that uses Machine Learning algorithms to analyze and classify unique sentiments in text. It is a complex, multi-step process that involves pairing myriad feature vectors with their respective sentiment tags ahead of time, and then applying a statistical model to match input text with tagged features from the reference dataset. This allows businesses to quickly analyze and adjust (or maintain) the experience they provide to their customers at scale, efficiently improving customer relationships with their brand.