Therefore, we consider that the opinion holder identification consists of a classification task and an information extraction task.
the evaluation holder is identified in two steps in CEIA: (1) use linear kernel support vector machines (SVMs) to determine whether the evaluation holder is author or not-author; (2) if the evaluation holder is not the author, then use a CRF tagging    A typical approach for sentiment classification is to use supervised machine learning algorithms with bag-of-words as features (Pang et al., 2002).