Abstract: Online Shopping is becoming more and more popular day by day because - most of the people will buy electronic products through e-commerce websites such as Amazon, Flipkart, Snapdeal etc. Now a day, the web provides valuable resources for obtaining consumer reviews which is useful for business analyst to analyse the data for marketing strategies. The online products receive hundreds or thousands of consumerreviews that is increasing rapidly. The reviews or comments expressed on the websites, forums, and blogs will vary the quality of expressiveness. If we consider prominent product, the various reviews expressed on such products may be in large. It is very hard for a dormant buyer to read them to make final decision whether to buy the product or not. It can be hard for the seller to keep track on particular product and to manage consumer opinions which receives enormous reviews. The Decision Making and Analysis (DMA) on customer reviews using sentiment analysis areto make firm decision whether to purchase the product or not. The decision making will purely depend on consumer reviews or sentiments expressed towards particular product. The work rely on automatic identification of consumer reviews, extracting opinions and features, data cleaning and building various dictionary. The work also concentrates on sentiment analysis which includes identification of positive and negative sentiment orientations. Further, validating the review results based on various analysis techniques. Finally, we embed this software into robot so that it can provide step by step voice instruction of running DMA tool and at the end it gives desired result to the end user about the selected product.
Keywords: Decision Making and Analysis, Opinion Mining, Sentiment Analysis Dictionary, Human Robot Interaction.