Sentiment analysis is concerned with extracting attitudes, opinions, evaluations, and sentiment from text.
to our setting, in the semisupervised case there is no training phase -the algorithm receives all examples (labeled and unlabeled) at the same time together with some distance or cost function and attempts to find a clustering that optimizes a given measure (usually based on the distance or cost function).