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

被引：3

作者：

Horecki, Krystian ^{[1
]}

Mazurkiewicz, Jacek ^{[2
]}

机构：

[1] Nokia Networks, Technol Ctr Wroclaw, PL-53611 Wroclaw, Poland

[2] Wroclaw Univ Technol, Dept Comp Engn, PL-50370 Wroclaw, Poland

来源：

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT II (ICAISC 2015) | 2015年 / 9120卷

关键词：

D O I：

10.1007/978-3-319-19369-4_2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：13 / 24

页数：12

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