Date Added: Dec 2011
With the availability of high bandwidth through wireless, internet has become a valuable place for online learning, exchanging ideas, reviews for a product or service. Reviews in the internet play a very crucial role for selection of product or service. Reviews found in the internet could be in thousands for a particular group of products or services which makes it difficult to track and understand customer opinions. Opinion mining is an emerging area of research which summarizes the customer reviews of a product or service and express whether the opinions are positive or negative. In this paper it is proposed to investigate the classification accuracy of random forest data mining algorithm for opinion mining and in specific for M learning systems.