The development of communication technology has led to easy access of information through the internet. Nowadays, the use of mobile devices is increasing rapidly which in turn has popularized the pedagogical methods such as learning through mobile devices. Several mobile learning systems are available and also the user opinions about these systems are aired in the social blogs or review websites. Neural networks have high acceptance ability for noisy data, high accuracy and are preferable in data mining. In Knowledge Discovery in Databases (KDD), Neural Networks are employed in classification process. This research paper develops an opinion mining system for M-Learning reviews, the goal of this system is to extract the opinions and reviews, and determine whether these reviews and opinions are positive or negative. This research works proposes to score the words in the opinion using Singular Value Decomposition; select information gain based attributes, additionally feed forward from input layer to the output layer and presents a novel neural network classification algorithm to improve the classification accuracy.

Opinion Mining Neural network Classification Accuracy M-Learning Information Gain