{"product_id":"text-mining-from-ontology-learning-to-automated-text-processing","title":"Text Mining: From Ontology Learning to Automated Text Processing","description":"\u003cp\u003eIn this review of Text Mining: From Ontology Learning to Automated Text Processing Applications, the authors present a focused, academic treatment of methods for extracting knowledge from large text corpora. The book is best for researchers and advanced practitioners who need a methodical overview of how text mining supports the creation of lexical resources such as dictionaries and ontologies and how those resources power automated text processing in domains like history and healthcare. The single biggest reason to buy is its systematic coverage of methodology that links corpus analysis to practical resource building and application.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMethodology-focused:\u003c\/strong\u003e The book lays out reproducible text mining approaches so readers can apply the same workflows to build lexical resources from raw corpora.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLexical resource creation:\u003c\/strong\u003e Detailed coverage explains how large dictionaries and ontologies are automatically generated from corpus analysis, useful for downstream NLP tasks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eApplication breadth:\u003c\/strong\u003e Examples show how text mining supports automated processing in fields such as history, healthcare and mobile applications, illustrating cross-domain utility.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdated techniques:\u003c\/strong\u003e The volume includes recent advances in text mining methods, helping practitioners stay current with evolving automated processing approaches.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResearch orientation:\u003c\/strong\u003e Chapters are written for readers already performing text mining, offering depth rather than introductory overview for better experimental use.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003eThis book is aimed at researchers, graduate students and developers who already have some background in natural language processing and want to deepen their practical knowledge of \u003cstrong\u003etext mining methodology\u003c\/strong\u003e and resource construction. It is particularly relevant for teams building lexical resources, ontologies or automated pipelines that rely on large-scale corpus analysis.\u003c\/p\u003e\n\u003cp\u003eReaders seeking a beginner-friendly introduction to NLP or a hands-on programming tutorial with code snippets and step-by-step exercises should look elsewhere, since the volume emphasizes methodology, theoretical framing and case studies over beginner tutorials.\u003c\/p\u003e\n\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eComprehensive methodology that connects corpus analysis to explicit steps for building lexical resources.\u003c\/li\u003e\n\u003cli\u003ePractical examples across domains illustrate how text mining yields usable automated processing applications.\u003c\/li\u003e\n\u003cli\u003eUpdated discussion of recent advances keeps readers informed about current approaches in the field.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNot a beginner primer; assumes reader familiarity with NLP concepts and prior text mining experience.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eText Mining: From Ontology Learning to Automated Text Processing Applications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeries\u003c\/td\u003e\n\u003ctd\u003eTheory and Applications of Natural Language Processing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEditors \/ Authors\u003c\/td\u003e\n\u003ctd\u003eChris Biemann, Alexander Mehler\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocus\u003c\/td\u003e\n\u003ctd\u003eMethodology of text mining and automatic lexical resource construction\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApplications discussed\u003c\/td\u003e\n\u003ctd\u003eHistory, healthcare, mobile applications and other automated text processing uses\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudience\u003c\/td\u003e\n\u003ctd\u003eResearchers and practitioners in NLP and text mining\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003eThis volume is a valuable methodological reference for anyone serious about using corpus analysis to build lexical resources and deploy automated text processing. It offers depth and domain-relevant examples that make it good value for researchers and experienced practitioners, though those new to NLP may find the material assumes prior knowledge.\u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this book include practical examples?\u003c\/strong\u003e\u003cbr\u003eThe book presents domain examples and case studies to illustrate methods, but it focuses on methodology rather than step-by-step programming tutorials.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs this title suitable for beginners?\u003c\/strong\u003e\u003cbr\u003eIt is primarily aimed at researchers and practitioners with existing NLP experience; beginners should supplement it with introductory resources.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat kinds of applications are covered?\u003c\/strong\u003e\u003cbr\u003eApplications include automated text processing in areas such as history, healthcare and mobile applications, showing how lexical resources support real tasks.\u003c\/p\u003e","brand":"Chris Biemann, Alexander Mehler","offers":[{"title":"Default Title","offer_id":48245157626075,"sku":"3319359304","price":104.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61ZlCokZjDL._SL1252.jpg?v=1770972812","url":"https:\/\/gearmusthave.com\/products\/text-mining-from-ontology-learning-to-automated-text-processing","provider":"GearMustHave","version":"1.0","type":"link"}