Data Mining Methods for the Content Analyst: An Introduction to the Computationa

Description: Data Mining Methods for the Content Analyst by Kalev Leetaru 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 mining strategies, along with detailed examples and steps relating to current data mining practices. Every technique is considered with regard to context, theory of operation and methodological concerns, and focuses on the capabilities and strengths relating to these technologies. In addressing critical methodologies and approaches to automated analytical techniques, this work provides an essential overview to a broad innovative field. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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 mining strategies, along with detailed examples and steps relating to current data mining practices. Every technique is considered with regard to context, theory of operation and methodological concerns, and focuses on the capabilities and strengths relating to these technologies. In addressing critical methodologies and approaches to automated analytical techniques, this work provides an essential overview to a broad innovative field. Author Biography Kalev Leetaru is Senior Research Scientist for Content Analysis at the University of Illinois Institute for Computing in Humanities, Arts, and Social Science and Center Affiliate of the National Center for Supercomputing Applications. He leads a number of large initiatives centering on the application of high performance computing to grand challenge problems using massive-scale document and data archives. Table of Contents Chapter 1 - Introduction What Is Content Analysis? Why Use Computerized Analysis Techniques? Standalone Tools Or Integrated Suites Transitioning From Theory To Practice Chapter 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 Sources Of Incompleteness Licensing 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 3 - Vocabulary Analysis The Basics Word Histograms Readability Indexes Normative Comparison Non-Word Analysis Colloquialisms: Abbreviations And Slang Restricting The Analytical Window Vocabulary Comparison And Evolution / Chronemics Advanced Topics Syllables, Rhyming, And Sounds Like Gender And Language Authorship Attribution Word Morphology, Stemming, And Lemmatization Chapter 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 5 – Lexicons, Entity Extraction, And Geocoding Lexicons Lexicons 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 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 Multilingual Analysis: Topic Extraction With Multiple Languages Chapter 7 – Sentiment Analysis Examining Emotions Evolution Evaluation Analytical Resolution: Documents vs Objects Hand-Crafted vs Automatically-Generated Lexicons Other Sentiment Scales Limitations Measuring Language Rather Than Worldview Chapter 8 – Similarity, Categorization and Clustering Categorization The Vector-Space Model Feature Selection Feature Reduction Learning Algorithm Evaluating ATC Results Benefits of ATC Over Human Categorization Limitations of ATC Applications of ATC Clustering Automated Clustering Hierarchical Clustering Partitional Clustering Document Similarity Vector Space Model Contingency Tables Chapter 9 – Network Analysis Understanding Network Analysis Network Content Analysis Representing Network Data Constructing the Network Network Structure The Triad Census Network Evolution Visualization and Clustering Details ISBN0415895138 Author Kalev Leetaru Language English ISBN-10 0415895138 ISBN-13 9780415895132 Media Book Format Hardcover Short Title DATA MINING METHODS FOR THE CO DEWEY 006.312 Imprint Routledge Subtitle An Introduction to the Computational Analysis of Content Place of Publication London Country of Publication United Kingdom AU Release Date 2011-12-13 NZ Release Date 2011-12-13 Year 2011 UK Release Date 2011-12-13 Pages 116 Publisher Taylor & Francis Ltd Series Routledge Communication Series Publication Date 2011-12-13 Alternative 9780415895149 Illustrations 6 Tables, black and white Audience Tertiary & Higher Education We've got this At The Nile, if you're looking for it, we've got it. 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