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Sentiment analysis for product rating

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Sentiment analysis for product rating

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.
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Posted by
Chathuri Super admin..

{"id"=>867, "level_no"=>1, "level_title"=>"New Section", "notes"=>"<p><span style=\"font-weight: 400;\">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).</span></p>\n<p><span style=\"font-weight: 400;\">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.</span></p>", "challenge_id"=>479, "created_at"=>Mon, 19 Oct 2020 08:47:09.394135000 UTC +00:00, "updated_at"=>Mon, 19 Oct 2020 08:47:09.394135000 UTC +00:00}

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  • Section 1

Description

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 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.

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Badge Description

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 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.

Submission: Experience summary

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