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Editorial Team
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Editorial Team
Asked: May 15, 20262026-05-15T04:23:18+00:00 2026-05-15T04:23:18+00:00

I’m creating a website where users can write articles and comment on the articles.

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I’m creating a website where users can write articles and comment on the articles. I want to automatically check to see if a new article or comment is spam.

What are good libraries for doing this?

I looked at bayesian classifier libraries, but it seems that I would have to gather a large amount of samples and classify them all as spam or not spam myself…

I’m looking for something that can hopefully just tell me right out of the box.

UPDATE: Maybe if something like this doesn’t exist, does anyone know of a download of a large amount of classifications of spam vs not spam that can be fed into a bayesian classifier?

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-15T04:23:19+00:00Added an answer on May 15, 2026 at 4:23 am

    Checkout the Akismet .NET 2.0 Api on CodePlex.

    Here’s an example from the CodePlex page:

    // Verify key
    Akismet api = new Akismet("key", "http://url.com", "Test/1.0");
    if (!api.VerifyKey()) throw new Exception("Key could not be verified.");
    
    // Create comment object for testing
    AkismetComment comment = new AkismetComment();
    comment.Blog = "http://joel.net";
    comment.UserIp = "147.202.45.202";
    comment.UserAgent = "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1)";
    comment.CommentContent = "<a href=\"http://someone.finderinn.com\">find someone</a>";
    comment.CommentType = "comment";
    comment.CommentAuthor = "someone";
    comment.CommentAuthorEmail = "backthismailtojerry@fastmail.fm";
    comment.CommentAuthorUrl = "http://someone.finderrin.com";
    
    // Test comment against akismet's service
    bool isSpam = api.COmmentCheck(comment);
    

    Akismet rocks.

    -Charles

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