Abstract:
An advanced Sentiment Analysis for Product Rating system detects hidden sentiments in comments and rates the product accordingly. Sentiment analysis helps the system function. This E-Commerce web application lets registered users view and comment on products. System ranks product based on user comments.
We rank user comments using a database of sentiment-based keywords with positivity or negativity weights. The comment will be compared to database keywords. User comments determine whether the product is good, bad, or worst.
User can see product and features after login. User can review product after viewing. User can view other users’ comments. Admins add products and keywords to the database. User can easily choose right product. This app promotes the product by advertising. This system also helps users review products.
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