What would be the most suitable machine learning approach to classify a web site? Yes, we can apply text mining concepts on web content but the problem is that the content is not only in a single language, it also has some images and video content too. The other thing is that web content is more semi-structured, unlike the simple text content of any document.
Bhaumik,
I would say that there is no single machine learning algorithm but a mix of algorithm strategy that might be useful. you will need:
*NLP for semi structured text processing and meaning
* Image processing for image feature detection
*ML for image classification
Each of these can have one or more stages of processing and learning algorithm involved.
Using Human computing as Joachim suggested can also cover some of the shortcomings which you may get in some classification tasks such as in image classification or in generating some labels for supervised learning.
nice!
This information (feedback) can make the bigger artificial inteligence for me. Is it?
Ana,
You are correct. Human computing has been used extensively to break Captchas. Since Captchas are quite difficult for automated algorithms what has been done is to use human computation to bypass this computer security mechanism. The work which I am mostly familiar with is Von Ahn's work. If you are interested please take a look at:
http://www.cs.cmu.edu/~biglou/research.html
You will find interesting applications there of human computing.
Hope this helps
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