1. The document discusses techniques for aspect identification and opinion polarity detection in text reviews. It presents two main methods: Aspect Vector and Pointwise Mutual Information (PMI). 2. The Aspect Vector method uses a predefined aspect vector containing common aspect terms organized by category. It identifies aspects by checking if extracted noun phrases from reviews match terms in the vector. 3. The PMI method calculates the PMI between noun phrases and aspect categories. It issues search queries combining terms and categories to determine probabilities used in the PMI calculation. Aspects are classified based on the category with the highest PMI score above a threshold.