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    <p>Here is a Google patent from 2005 </p> <p><a href="http://www.google.com/patents/US20050060312" rel="noreferrer">"Systems and methods for improving the ranking of news articles"</a></p> <p>And an update from 2012:</p> <p><a href="http://www.patentstorm.us/applications/20120158711/description.html" rel="noreferrer">SYSTEMS AND METHODS FOR IMPROVING THE RANKING OF NEWS ARTICLES</a></p> <p>If you wanted to build a simple system yourself, I would do something like this:</p> <p>Take a bunch of news stories that are already classified into sports/tech/whatever.</p> <p>Tokenize them into individual words and grams (short sequences of words).</p> <p>Create a really big table with unique words and grams as the columns and individual stories as the rows:</p> <pre><code>StoryId Class word1 word2 gram1 gram2 ... 1 sports 0 0.2 0.01 0 2 tech 0.5 0.01 0 0.3 3 sports 0 0.1 0.3 0.01 </code></pre> <p>Where the values in the cells represent the frequency, binary occurrence or TF-IDF scores of the words in the documents.</p> <p>Use a classification algorithm such as Naive Bayes or Support Vector Machines to learn the weights of the columns with respect to the class labels. This is called your model. </p> <p>When you get a new, unclassified document, tokenize it the same way as before, apply the model you created earlier, and it will give you the most likely class label of the document. </p> <p>Here is my video series which includes a video on automatic document categorization:</p> <p><a href="http://vancouverdata.blogspot.ca/2010/11/text-analytics-with-rapidminer-loading.html" rel="noreferrer">http://vancouverdata.blogspot.ca/2010/11/text-analytics-with-rapidminer-loading.html</a></p>
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    1. POHow does Google News automatically categorize articles into Tech/Science/Health/Entertainment/etc?
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    1. USNeil McGuigan
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    1. POHow does Google News automatically categorize articles into Tech/Science/Health/Entertainment/etc?
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    1. COThere is very small chance, that google news works on such easy models, so it does not really address the OP question.
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