Jiho Han Ronny (Dowon) Ko

 Objective: automatically generate the summary of review extracting the strength/weakness of the product  Use NLP techniques to predict ratings ◦ Similar to sentimental analysis  Key Insight: Imposing market structure assumption ◦ Different type of information extraction  Amazon review text

 Opinion = (orientation, polarity) Review Texts Orientation Profile Rating ∞ m k

 Parsing – through Stanford NLP syntax parser  Initializing orientation and polarity ◦ Selecting polarity words through decision tree (Max-Ent) ◦ Orientation using N-gram (uni + bi) ◦ Use wordnet when testing  Extract market profiling and pricing kernel  Update word polarity  Repeat until no more improvement

 Extract the words that have significant effect on rating (in terms of maximizing entropy)

 Initial word polarity

 Change in polarity  Performance