Information Extraction from Text

Author

Jing JIANG, Singapore Management UniversityFollow

Publication Type

Book Chapter

Publication Date

2012

Abstract

The problem of text mining has gained increasing attention in recent years because of the large amounts of text data, which are created in a variety of social network, web, and other information-centric applications. Unstructured data is the easiest form of data which can be created in any application scenario. As a result, there has been a tremendous need to design methods and algorithms which can effectively process a wide variety of text applications. This book will provide an overview of the different methods and algorithms which are common in the text domain, with a particular focus on mining methods

Discipline

Databases and Information Systems

Publication

Mining Text Data

Identifier

10.1007/978-1-4614-3223-4_1

Publisher

Springer

Citation

JIANG, Jing. Information Extraction from Text. (2012). Mining Text Data.
Available at: https://ink.library.smu.edu.sg/sis_research/1489

Comments

Charu C. Aggarwal and ChengXiang Zhai