Classification
In my previous post I wrote about solving sentiment detection problem.
Sentiment detection is an example of broader class of AI problems called classification.
Classification can be seen as a function f: X -> {Y1, Y2, ..., Yn} - to an element from set X we assign
either Y1 or Y2, and so on up to Yn. For example for sentiment analysis X was a set of all sentences, and for
a sentence from this set we assigned either POSITIVE or NEGATIVE or NEUTRAL, or MIXED.
Mathematically X can be seen as a plane or hyperplane, and classification is cutting this plane into two or more pieces,
or putting objects into a bucket:
