Functional requirements for Product rating based on sentiment analysis and non functional requirments? This project aims...

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Functional requirements for Product rating based on sentiment analysis and non functional requirments? This project aims to develop a sentiment analysis system for product rating. It is an e-commerce web application. The main goal of this sentiment analysis system is to understand the hidden sentiments of customers in feedback and comments and analyze their product rating patterns. When registered customers (they can create account by themselves and then modify their account) use this application to view products, product features, and comment on different products, the sentiment analysis system will use API of some product review websites to collect comments of that product and analyze the comments of various users and ranks products accordingly. The system leverages a database of sentiment-based keywords (including positivity INFO2413 page 2 or negativity weight). So, when a user comments on a particular product, the sentiment analysis system analyzes the keywords in the comment to find the match with the keywords stored in the database. After analyzing the matches against the positive and negative keywords and sentiments, the system ranks a product as good, bad, and very bad. Thus, users can use this application to find out reviews on a product. The system also has administrator who manage the system, add/modify/delete users' account Functional requirements for Product rating based on sentiment analysis and non functional requirments? This project aims to develop a sentiment analysis system for product rating. It is an e-commerce web application. The main goal of this sentiment analysis system is to understand the hidden sentiments of customers in feedback and comments and analyze their product rating patterns. When registered customers (they can create account by themselves and then modify their account) use this application to view products, product features, and comment on different products, the sentiment analysis system will use API of some product review websites to collect comments of that product and analyze the comments of various users and ranks products accordingly. The system leverages a database of sentiment-based keywords (including positivity INFO2413 page 2 or negativity weight). So, when a user comments on a particular product, the sentiment analysis system analyzes the keywords in the comment to find the match with the keywords stored in the database. After analyzing the matches against the positive and negative keywords and sentiments, the system ranks a product as good, bad, and very bad. Thus, users can use this application to find out reviews on a product. The system also has administrator who manage the system, add/modify/delete users' account

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