Natural Language Processing Methods Used for Automatic Prediction Mechanism of Related Phenomenon

The paper presents an idea to combine variety of Natural Language Processing techniques with different classification methods as a tool for automatic prediction mechanism of related phenomenon. Different types of preprocessing techniques are used and verified, in order to find the best set of them. It is assumed that such approach allows to recognize the phenomenon which is related to the text. Research uses the real input from the big data systems. The news website articles are the source of raw text data. The paper proposes the new, promising ways of automatic data and content mining methods for the big data systems. The presented accuracy results are much better than average classification for sentimental analysis done by the human.