ROLE OF ARTIFICIAL NEURAL NETWORK IN OPINION CLASSIFICATION

In the present world the internet users enlarged rapidly, consumers are more involved in searching and selecting best product. E-commerce organizations are also spent a lot of time, efforts and cost to investigate the comments and feedback about their products. This scrutiny would assists the corporations to enhance their services and products at low cost, which in turn would facilitate them to extend and flourish in the industry. To extract knowledge from vast unstructured data which is in the form of customer reviews finds it very difficult to analyze and evaluate. This research paper analyze the role of neural network in opining mining classification and proposed Gain Ratio feed forward neural network (GR_FFNN) algorithm to improve classification accuracy. This paper also compares the GR_FFNN algorithm with the existing neural network classifier.