Training a text classifier
When writing a text classification system you need to train it. Typically you have a corpus of good data that has been accurately pre-classified and this is what you throw at the system while it is learning the classification.
I came up with what I thought was a good analogy for an untrained text classifier: A genius amnesic. i.e. someone who initially knows nothing but learns lightening fast.
Filed under: Algorithms