Now that we are able to extract useful features from text, we can take on the challenge of building a classifier using real data. Let's come back to our imaginary website in Chapter 3, Clustering – Finding Related Posts, where users can submit questions and get them answered.
A continuous challenge for owners of those Q&A sites is to maintain a decent level of quality in the posted content. Sites such as StackOverflow make considerable efforts to encourage users with diverse possibilities to score content and offer badges and bonus points in order to encourage the users to spend more energy on carving out the question or crafting a possible answer.
One particular successful incentive is the ability for the asker to flag one answer to their question as the accepted answer (again there are incentives for the asker to flag answers as such). This will result in more score points for the author of the flagged answer.
Would it not be very useful...