Sentiment Analysis for Product Rating

This is one of the most innovative project ideas beginners can try out.

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 use this app to view products, product features, and comment on different products, the sentiment analysis system will analyze the comments of various users and ranks products accordingly. The system leverages a database of sentiment-based keywords (including positivity or negativity weight).

So, when a user comments on a particular product, the sentiment analysis system analyzes the keywords in the comment to find a 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.

Importance of  Sentiment analysis for product rating

• Organisations can use this as a marketing tool.
• Helps in increasing the following-
  • Customer loyalty 
  • Customer satisfaction 
  • Brand Recognition
• The product can acquire the acceptance of the customers.
• It helps the brands to identify the products that have higher acceptance and materialise the resources for the same.
• Lift the business’s local ranking on the search engine.
• Boost click-through rates