Text Mining with MATLAB®

Preface
Table of Contents
1 Introduction
	1.1 About Text Mining and MATLAB®
	1.2 About this Book
	1.3 A (very) Brief Introduction to MATLAB®
	1.4 The Text Analytics Toolbox™
	1.5 Further Reading
	1.6 References
Part I: Fundamentals
	2 Handling Text Data
		2.1 Character and Character Arrays
		2.2 Handling Text with Cell Arrays
		2.3 Handling Text with Structures
		2.4 Handling Text with String Arrays
		2.5 Some Useful Functions
		2.6 Further Reading
		2.7 Proposed Exercises
		2.8 References
	3 Regular Expressions
		3.1 Basic Operators for Matching Characters
		3.2 Matching Sequences of Characters
		3.3 Conditional Matching
		3.4 Working with Tokens
		3.5 Further Reading
		3.6 Proposed Exercises
		3.7 References
	4 Basic Operations with Strings
		4.1 Searching and Comparing
		4.2 Replacement and Insertion
		4.3 Segmentation and Concatenation
		4.4 Set Operations
		4.5 Further Reading
		4.6 Proposed Exercises
		4.7 References
	5 Reading and Writing Files
		5.1 Basic File Formats
		5.2 Other Useful Formats
		5.3 Handling Files and Directories
		5.4 Further Reading
		5.5 Proposed Exercises
		5.6 References
	6 The Structure of Language
		6.1 Levels of the Linguistic Phenomena
		6.2 Morphology and Syntax
		6.3 Semantics and Pragmatics
		6.4 Further Reading
		6.5 Proposed Exercises
		6.6 References
Part II: Mathematical Models
	7 Basic Corpus Statistics
		7.1 Fundamental Properties
		7.2 Word Co-occurrences
		7.3 Accounting for Order
		7.4 Further Reading
		7.5 Proposed Exercises
		7.6 Short Projects
		7.7 References
	8 Statistical Models
		8.1 Basic n-gram Models
		8.2 Discounting
		8.3 Model Interpolation
		8.4 Topic Models
		8.5 Further Reading
		8.6 Proposed Exercises
		8.7 Short Projects
		8.8 References
	9 Geometrical Models
		9.1 The Term-Document Matrix
		9.2 The Vector Space Model
		9.3 Association Scores and Distances
		9.4 Further Reading
		9.5 Proposed Exercises
		9.6 Short Projects
		9.7 References
	10 Dimensionality Reduction
		10.1 Vocabulary Pruning and Merging
		10.2 The Linear Transformation Approach
		10.3 Non-linear Projection Methods
		10.4 Embeddings
		10.5 Further Reading
		10.6 Proposed Exercises
		10.7 Short Projects
		10.8 References
Part III: Methods and Applications
	11 Document Categorization
		11.1 Data Collection Preparation
		11.2 Unsupervised Clustering
		11.3 Supervised Classification in Vector Space
		11.4 Supervised Classification in Probability Space
		11.5 Further Reading
		11.6 Proposed Exercises
		11.7 Short Projects
		11.8 References
	12 Document Search
		12.1 Binary Search
		12.2 Vector-based Search
		12.3 The BM25 Ranking Function
		12.4 Cross-language Search
		12.5 Further Reading
		12.6 Proposed Exercises
		12.7 Short Projects
		12.8 References
	13 Content Analysis
		13.1 Dimensions of Analysis
		13.2 Polarity Estimation
		13.3 Qualifier and Aspect Identification
		13.4 Entity, Relation and Definition Extraction
		13.5 Further Reading
		13.6 Proposed Exercises
		13.7 Short Projects
		13.8 References
	14 Keyword Extraction and Summarization
		14.1 Keywords and Word Clouds
		14.2 Text Summarization
		14.3 Further Reading
		14.4 Proposed Exercises
		14.5 Short Projects
		14.6 References
	15 Question Answering and Dialogue
		15.1 Question Answering
		15.2 Dialogue Systems
		15.3 Further Reading
		15.4 Proposed Exercises
		15.5 Short Projects
		15.6 References