The document outlines the phases of a major project involving analyzing product reviews. Phase 1 involved selecting a problem statement and collecting review data. Phase 2 involved preprocessing the data by removing stop words and stemming words. Features were then extracted. Phase 3 involved implementing k-means clustering on the normalized feature set to group similar reviews and analyze the results. Porter stemming and k-means clustering are also briefly defined.