Information Extraction: Fundamentals and Applications

The process of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents and other electronically represented sources is referred to as information extraction (IE). This activity, in the vast majority of instances, refers to the processing of documents written in human languages by utilizing natural language processing (NLP). The process of extracting information can be seen in recent activity in multimedia document processing such as automatic annotation and content extraction out of photos, audio, and video documents.

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Information extraction

Chapter 2: Natural language processing

Chapter 3: Text mining

Chapter 4: Named-entity recognition

Chapter 5: Unstructured data

Chapter 6: Relationship extraction

Chapter 7: Data extraction

Chapter 8: Knowledge extraction

Chapter 9: Entity linking

Chapter 10: Outline of natural language processing

(II) Answering the public top questions about information extraction.

(III) Real world examples for the usage of information extraction in many fields.

(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of information extraction' technologies.

Who This Book Is For

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of information extraction.