1. Text Mining Application Programming Chapter 1 Introduction
Manu Konchady, 2006

3. Definition: Text Mining
all types of text processing that deal with finding, organizing, and analyzing information.
(formal) the creation of new information that is not obvious in a collection of documents.
New information is defined as a pattern, trend, or relationship that can’t be easily gleaned by reading individual documents.
The term document to refer to any unit of text, such as a Web page, an , a formatted article, a set of slides, or a plain text file.

4. Data Mining vs. Text Mining
Data mining deals with structured numeric data, text mining deals with unstructured text.
Data used for data mining is extracted, transformed, and loaded in a data warehouse.
Text mining attempts to build a model from data that is assumed to be imprecise.

5. Origins of Text Mining Information Retrieval
Natural Language Processing

6. Understanding Text “Alice saw the rabbit with glasses,” Polysemy
“In what state would you find Lincoln”
“free software”
Synonymy
More than one word can be expressed the same meaning.
Exuberant: lush, luxuriant, profuse, and riotous.

7. An Architecture for Text Mining Applications

8. Text Mining Functions Searching Information Extraction Clustering
Categorization
Summarization
Information Monitor
Question and Answer

9. A Layered Model

10. Text Mining Installation
Text Mine ( is a collection of Perl modules and code on SourceForge to index, cluster, classify, and summarize text.

11. Usage
Command line
Web-based interface.

12. Web Interface