From: Survey of review spam detection using machine learning techniques
Method | Attributes |
---|---|
Supervised Learning | Learning from a set of labeled data |
Requires labeled training data | |
Most common form of learning | |
Unsupervised Learning | Learning from a set of unlabeled data |
Finds unseen relationships in the data independent of class label | |
Most common form is clustering | |
Semi-supervised Learning | Learning from labeled and unlabeled data |
Only requires a relatively small set of labeled data which is supplemented with a large amount of unlabeled data | |
Ideal for cases such as review spam where vast amounts of unlabeled data exist |