Text Mining: Techniques, Applications, and Challenges

被引：19
|
作者：
Justicia de la Torre, C. [1 ]
Sanchez, D. [1 ]
Blanco, I [1 ]
Martin-Bautista, M. J. [1 ]
机构：
[1] Univ Granada, Dept Comp Sci & Artificial Intelligence, Granada, Spain
来源：
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS | 2018年 / 26卷 / 04期
关键词：
Text mining; text data mining; text knowledge mining; knowledge discovery in texts; fuzzy text mining; text mining applications; FUZZY ASSOCIATION RULES; KNOWLEDGE DISCOVERY; TOPIC DETECTION; FRAMEWORK; SYSTEM; REPRESENTATION; EXTRACTION; SCIENCE; WEBSOM;
D O I：
10.1142/S0218488518500265
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This work presents an overview of the text mining area, considering the most common techniques, and including proposals based on the application of fuzzy sets. Besides, some of the most frequent text mining applications are mentioned. We discuss the existing approaches, which we call text data mining, in relation to the recently proposed paradigm of text knowledge mining, and we conclude that both are different and complementary, in the sense that they are able to extract different knowledge pieces from text by using different reasoning mechanisms. Future challenges related to text knowledge mining are also briefly outlined.
引用
收藏
页码：553 / 582
页数：30
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