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Earl analyzes reviews authenticity on Amazon to help you make better purchase decisions.
Latest Version
Version
1.3
Update
July 20, 2015
Size
2.25MiB
Developer
Category
Users
60 
Rating
2.375 ★
Manifest Version
2
Web Store Status
Extension ID
Languages Support
Permissions
Tabs
Http://*/
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Http://*/
Evalute Amazon Reviews Lemur (Earl) Extension
How to use:
Browse any Amazon product, Earl app works in the background by analyzing the product reviews content and metadata. Once the analysis is done, a letter grade (A-F) is displayed on the icon where A is for excellent reviews with minimal deception, and F with most reviews being deceptive. Click the icon in order to open the popup window to see detailed analysis reports as well as find suggestions for potential better alternatives.
How it works:
Once you visit any Amazon product page, Earl evaluates the reviews of this product to look for deceptive reviews aimed at giving a wrong image of the true quality of the product. Once the analysis is done Earl letter grades the product's reviews and provides recommendations of potentially better alternatives.
Earl's goal is to protect consumers from fake reviews on Amazon and is designed to be non-invasive helping consumers make the best purchase decisions.
Contact:
[email protected]
Read more
Browse any Amazon product, Earl app works in the background by analyzing the product reviews content and metadata. Once the analysis is done, a letter grade (A-F) is displayed on the icon where A is for excellent reviews with minimal deception, and F with most reviews being deceptive. Click the icon in order to open the popup window to see detailed analysis reports as well as find suggestions for potential better alternatives.
How it works:
Once you visit any Amazon product page, Earl evaluates the reviews of this product to look for deceptive reviews aimed at giving a wrong image of the true quality of the product. Once the analysis is done Earl letter grades the product's reviews and provides recommendations of potentially better alternatives.
Earl's goal is to protect consumers from fake reviews on Amazon and is designed to be non-invasive helping consumers make the best purchase decisions.
Contact:
[email protected]
Source Manifest.json
{"update_url": "https://clients2.google.com/service/update2/crx", "name": "Evalute Amazon Reviews Lemur (Earl)", "version": "1.3", "manifest_version": 2, "description": "Earl analyzes reviews authenticity on Amazon to help you make better purchase decisions.", "icons": { "16": "img/lemur-main.png", "48": "img/lemur-main.png", "128": "img/lemur-main.png" }, "default_locale": "en", "background": { "page": "src/bg/background.html", "persistent": false }, "browser_action": { "default_icon": "img/lemur-main.png", "default_title": "Earl | Amazon Reviews Analyzer - Click for Details", "default_popup": "src/browser_action/popup.html" }, "permissions": [ "tabs", "http://*/" ], "content_scripts": [ { "matches": [ "*://*.amazon.com/*" ], "js": [ "js/script.js" ] } ], "web_accessible_resources": ["js/jquery/jquery.min.js", "js/bootstrap.min.js", "js/d3.v3.min.js", "src/bg/background.js"]}
Read more
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User reviews
wonder yang (ID: 000000ffb22726ad) Voted 1 ★ - Updated 04/02/2018
Jonathan Marsh (ID: 000000c9cabbf2ce) Voted 1 ★ - Updated 04/11/2016
Jimmy Setyo (ID: 000000f52ac40505) Voted 2 ★ - Updated 09/03/2015
(ID: ) Voted 4 ★ - Updated 07/12/2015
Scott Gerlach (ID: 000000b06806051f) Voted 3 ★ - Updated 06/03/2015
