dukefall

4 ms·

1. 1.▲
   by dukefall 12y ago

   You can use my site (posted on hacker news back in January): www.fakespot.com It basically analyzes reviews to detect if they are fake or not.
2. 2.▲
   by dukefall 12y ago

   Yes! I have seen the stuff Yelp is doing. Reviews are definitely integral to Yelp so they must eliminate those fabricated reviews to maintain their reputation otherwise no one would be using their website. 1) You are correct, a large number
3. 3.▲
   by dukefall 12y ago

   There is a core number of stored reviews/and author profiles, that I overlook to confirm that are fake.
4. 4.▲
   by dukefall 12y ago

   Testing is done by extracting the review text, author's other reviews that includes natural language processing, and the reviewer profile variables. As mentioned, main focus was to determine paid reviews that some companies purchase an
5. 5.▲
   by dukefall 12y ago

   Fellow hackers, I created this site that analyzes reviews of an Amazon product. The algorithm analyzes language and many other variables improving over time due to machine learning implementation. Primary aim is to distinguish fake reviews
6. 6.▲
   Show HN: Fakespot – identify fake reviews Amazon(fakespot.com)

   7 points by dukefall 12y ago|8 comments