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                                    Grading of Online Products Using Sentimental Analysis

A system that gives customers with a verified score of any online product derived using the Sentiment Analysis NLP technology. The system looks through the text for keywords that convey specific emotions. Natural Language Processing was utilised to create a fine-grained Sentimental Analysis report. This classifier assists us in categorising reviews gathered from the product’s website URL into specified categories, confirming the user’s thinking process and generating a rating from 1 to 5 (1 being the lowest, 5 being the highest).This approach is used by the system to collect all of the reviews and transform the textual meaning into a sensible average grade. Fake reviews posted by sellers to boost their product is also filtered during the grading process. This procedure allows any potential consumer to get a clear judgement about the purchase decision

Model Used - VADER for sentiment Analysis Works on Flipkart Site