Information Extraction - Fundamentals and Applications
Fouad Sabry
Verlag: One Billion Knowledgeable
Beschreibung
What Is Information Extraction 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.
