SSL assumes that, although unlabeled data hold no information about classes (e.g., "opinion" or "non-opinion"), they do contain information about joint distribution over classification features.
when a limited set of labeled data is available in the target domain, using SSL with unlabeled data is expected to achieve an improvement over supervised learning.