It is a very good thought, indeed. However, you would need to think carefully and extensively on what kind of features the articles you are interested in have in common. You could use some sort of data clustering (FCM, maybe?) to help you with this task. You would then need to find a way to extract those features consistently. Finally, you could use a classifier to filter the raw data and present you only with the stuff you are interested in. When you design the classifier, try to incorporate a confidence index that tells you how reliable the results are. In this way, you could play with the outputs until you are happy with the results. Does it make sense?