Information Extraction: Fundamentals and Applications
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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.
