A text mining tool for product reviews.

Introduction This is an individual final year project of a Hong Kong Polytechnic University student. The aim of this project is finding an effective and efficient method to find the general opinion of a product (such as iPhone, Windows7) from the shared message online. (such as Facebook, Twitter, CNet) First Experience The first stage of this project is setting an experience about iPhone reviews in Twitter. The processes are: Get the public data from Twitter through the Twitter search. Finished Extract the message part. Finished Insert the data to MySQL database. Finished Use Standford POS Tagger to find the part of speech of words. Finished Use Standford Parser to find the relation among words. Finished Count the frequency of the feature-opinion pairs. Doing Normalize the frequency and calculate the sco