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[null,"1.","Record Nr.",null,"UNINA9910688314203321"]
[null,null,"Titolo",null,"E-Services / / edited by Sam Goundar"]
[null,null,"Pubbl/distr/stampa",null,"London : , : IntechOpen, , 2021"]
[null,null,"Descrizione fisica",null,"1 online resource (196 pages) : illustrations"]
[null,null,"Disciplina",null,"621.3"]
[null,null,"Soggetti",null,"Digital communications"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,null,"Sommario/riassunto","The turn of the new millennium has brought with it an explosion of activity around electronic services (e-services) in the form of e-commerce, e-business, e-government, e-learning, and so on. The provision of all possible goods and services electronically via the Internet with the use of semantic web technologies has seen a paradigm shift from the traditional brick-and-mortar location-based services to the ubiquitous provision of goods and services online. An understanding of this paradigm shift and the fundamental properties of e-service composition is required in order to take full advantage of the paradigm. As such, this book provides comprehensive coverage and understanding of the use of e-services within the technological, business, management, and organizational domains. Chapters cover such topics as digitized learning, information and communication technology in sports, cloud computing for universities, and more. This book is a reference book for scholars, researchers, and practitioners looking to update their knowledge on methodologies, theoretical analyses, modeling, simulation, and empirical studies on e-services."]
[null,"2.","Record Nr.",null,"UNINA9910971263003321"]
[null,null,"Autore",null,"Leetaru Kalev"]
[null,null,"Titolo",null,"Data mining methods for the content analyst : an introduction to the computational analysis of content / / Kalev Hannes Leetaru"]
[null,null,"Pubbl/distr/stampa",null,"New York, : Routledge, 2012"]
[{"$nulls":4},"New York : , : Routledge, , 2012"]
[null,null,"ISBN",null,"0-203-14938-6"]
[{"$nulls":4},"1-283-84361-7"]
[{"$nulls":4},"1-136-51459-7"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (121 p.)"]
[null,null,"Collana",null,"Routledge communication series"]
[null,null,"Disciplina",null,"006.3/12"]
[{"$nulls":4},"006.312"]
[null,null,"Soggetti",null,"Data mining"]
[{"$nulls":4},"Data mining - Statistical methods"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. [97]-99) and index."]
[null,null,"Nota di contenuto",null,"DATA MINING METHODS FOR THE CONTENT ANALYST An Introduction to the Computational Analysis of Content; Copyright; Contents; List of Tables and Figures; Acknowledgments; 1 Introduction; What Is Content Analysis?; Why Use Computerized Analysis Techniques?; Standalone Tools or Integrated Suites; Transitioning from Theory to Practice; Chapter in Summary; 2 Obtaining and Preparing Data; Collecting Data from Digital Text Repositories; Are the Data Meaningful?; Using Data in Unintended Ways; Analytical Resolution; Types of Data Sources; Finding Sources; Searching Text Collections"]
[{"$nulls":4},"Sources of IncompletenessLicensing Restrictions and Content Blackouts; Measuring Viewership; Accuracy and Convenience Samples; Random Samples; Multimedia Content; Converting to Textual Format; Prosody; Example Data Sources; Patterns in Historical War Coverage; Competitive Intelligence; Global News Coverage; Downloading Content; Digital Content; Print Content; Preparing Content; Document Extraction; Cleaning; Post Filtering; Reforming/Reshaping; Content Proxy Extraction; Chapter in Summary; 3 Vocabulary Analysis; The Basics; Word Histograms; Readability Indexes; Normative Comparison"]
[{"$nulls":4},"Non-word AnalysisColloquialisms: Abbreviations and Slang; Restricting the Analytical Window; Vocabulary Comparison and Evolution/Chronemics; Advanced Topics; Syllables, Rhyming, and "]
[{"$nulls":4},"\"Sounds Like\"; Gender and Language; Authorship Attribution; Word Morphology, Stemming, and Lemmatization; Chapter in Summary; 4 Correlation and Co-occurrence; Understanding Correlation; Computing Word Correlations; Directionality; Concordance; Co-occurrence and Search; Language Variation and Lexicons; Non-co-occurrence; Correlation with Metadata; Chapter in Summary; 5 Lexicons, Entity Extraction, and Geocoding"]
[{"$nulls":4},"LexiconsLexicons and Categorization; Lexical Correlation; Lexicon Consistency Checks; Thesauri and Vocabulary Expanders; Named Entity Extraction; Lexicons and Processing; Applications; Geocoding, Gazetteers, and Spatial Analysis; Geocoding; Gazetteers and the Geocoding Process; Operating Under Uncertainty; Spatial Analysis; Chapter in Summary; 6 Topic Extraction; How Machines Process Text; Unstructured Text; Extracting Meaning from Text; Applications of Topic Extraction; Comparing/Clustering Documents; Automatic Summarization; Automatic Keyword Generation"]
[{"$nulls":4},"Multilingual Analysis: Topic Extraction with Multiple LanguagesChapter in Summary; 7 Sentiment Analysis; Examining Emotions; Evolution; Evaluation; Analytical Resolution: Documents versus Objects; Hand-crafted versus Automatically Generated Lexicons; Other Sentiment Scales; Limitations; Measuring Language Rather Than Worldview; Chapter in Summary; 8 Similarity, Categorization and Clustering; Categorization; The Vector Space Model; Feature Selection; Feature Reduction; Learning Algorithm; Evaluating ATC Results; Benefi ts of ATC over Human Categorization; Limitations of ATC"]
[{"$nulls":4},"Applications of ATC"]
[null,null,null,"Sommario/riassunto","With continuous advancements and an increase in user popularity, data mining technologies serve as an invaluable resource for researchers across a wide range of disciplines in the humanities and social sciences. In this comprehensive guide, author and research scientist Kalev Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for new and experienced users alike.Designed as an instructive reference to computer-based analysis approaches, each chapter of this resource explains a set of core concepts and analytical data m"]