Text mining and its applications to intelligence, CRM and knowledge management / edited by A. Zanasi.

Part 1 Theoretical overview

Chapter 1: Text processing and information retrieval
1.1 Introduction
1.2 Data gathering and extraction of text
1.3 Text processing
etc.

Chapter 2: Information extraction and ......Surroundings
2.1 Introduction
2.2 Information extraction historical flash-back
2.3 IE systems architecture
etc.

Chapter 3 : Text Clustering as a mining task
3.1 Introduction
3.2 Overview on data clustering and analysis
3.3 Problems and solutions in the text clustering field
etc.

Chapter 4: Text categorization
4.1 Introduction
4.2 The basic picture
4.3 Techniques
etc.

Chapter 5: Summarization and visualization
5.1 Introduction
5.2 Text summarization
5.3 Text visualization
etc.

Part 2: Applications

Chapter 6: Application integration in applied text mining
6.1 Introduction
6.2 Business drivers and application types
6.3 Application elements
etc.

Chapter 7: ROI in text mining projects
7.1 Introduction
7.2 The evaluation of a text mining solution
7.3 The evaluation of the tangible components in text mining
etc.

Chapter 8: Open sources automatic analysis for corporate government intelligence
8.1 Introduction
8.2 New government intelligence role
8.3 Corporate intelligence
etc.

Chapter 9: A critical appraisal of text mining in intelligence environment
9.1 Introduction
9.2 11 Sept., intelligence and information explosion
9.3 Data mining: some world relevant examples
etc.

Chapter 10: Marketing intelligence system to forecast telecommunication competitive land scape
10.1 Introduction
10.2 Italian mobile market overview
10.3 TIM positioning
etc.

Chapter 11: Competitive intelligence for SMEs: an application to the Italian building sector
11.1 What was the problem?
11.2 Edilintelligence: what is it?
11.3 the text mining bricks of the solution: theory and practice
etc.

Chapter 12: Virtual communities : human capital and other personal characteristics extraction
12.1 The emergence of neo-renaissance paradigm
12.2 Intellectual and human capital
12.3 Virtual communities: where text mining is applied
etc.

Chapter 13; Customer feedbacks and opinion surveys analysis in the automotive industry
13.1 Introduction
13.2 Customer feedback analysis in Renault
13.3 Opinion surveys for automotive manufacturers
etc.

Part 3: Software
Chapter 21: Text mining tools
21.1 Megaputer intelligence
21.2 SAS
21.3 SPSS
etc.