Abstract
The trend of online shopping has grown over recent years. Assessing the quality of the product has become very important. Product review classification is used to analyze the sentiment from reviews posted by the user to prepare the product report. In this chapter, the mechanism has been proposed for opinion mining over text review data for the generation of product review reports based upon multiple features all together. This report shows positive and negative points about the specific product, which can play a significant role in the selection of the products on online portals. The proposed model has been evaluated based on the performance parameters of the precision, recall and polarity-based accuracy assessment, which gives the overall perspective of the overall accuracy. The proposed model has been clearly defined as being better than the existing models, when assessed on the given parameters.
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