LEADER 05154nam 2200493 450 001 9910555092303321 005 20221006182728.0 010 $a9781119487142 010 $a1-119-48714-5 010 $a1-119-48715-3 035 $a(CKB)4100000012038193 035 $a(MiAaPQ)EBC6738818 035 $a(Au-PeEL)EBL6738818 035 $a(OCoLC)1276854343 035 $a(EXLCZ)994100000012038193 100 $a20220628d2022 fy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aText as data $ecomputational methods of understanding written expression using SAS /$fBarry deVille, Gurpreet Singh Bawa 210 1$aHoboken, NJ :$cJohn Wiley & Sons, Inc.,$d[2022] 210 4$d©2022 215 $a1 online resource (235 pages) 225 1 $aWiley and SAS business series 311 1 $a1-119-48712-9 327 $aCover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- About the Authors -- Introduction -- Chapter 1 Text Mining and Text Analytics -- Background and Terminology -- Text Analytics: What Is It? -- Brief History of Text -- Writing Systems of the World -- Meaning and Ambiguity -- Notes -- Chapter 2 Text Analytics Process Overview -- Text Analytics Processing -- Process Building Blocks -- Preparation -- Utilization -- Process Description -- Text Mining Data Sources -- Capture -- Linguistic Processing -- Parsing and Parse Products -- Internal Representation and Text Products -- Representation -- Notes -- Chapter 3 Text Data Source Capture -- Text Mining Data Source Assembly -- Use Case: Accessing Text from SAS Conference Proceedings -- Text Data Capture Process -- Consuming Linguistics Text Products -- Notes -- Chapter 4 Document Content and Characterization -- Authorship Analytics: Early Text Indicators and Measures -- Function Words as Indicators -- Beyond Function Words -- Words and Word Forms as Psychological Artifacts -- A Case Study in Gender Detection -- Data Product Example -- Analysis Results -- Summarization and Discourse Analysis -- Elementary Operations as Building Blocks to Results -- Fact Extraction -- Sentiment Extraction -- Conditional Inference -- Deployment -- Summarization -- Conclusion -- Notes -- Chapter 5 Textual Abstraction: Latent Structure, Dimension Reduction -- Text Mining Data Source Assembly -- Latent Structure and Dimensional Reduction -- Singular Value Decomposition as Dimension Reduction -- Latent Semantic Analysis -- Clustering Approach to Document Classification -- SVD Approach to Document Indexing -- Rough Meaning - Approximation for Singular Value Dimensions -- Semantic Indexing: Assigning Category Based on Singular Value Dimensional Scores -- Identifying Topics Using Latent Structure. 327 $aLatent Structure: Tracking Topic Term Variability Across Semantic Fields -- Conclusion -- Notes -- Chapter 6 Classification and Prediction -- Use Case Scenario -- Composite Document Construction -- Model Development -- Ensemble or Multiagent Models -- Identifying Drivers of Textual Consumer Feedback Using Distance-Based Clustering and Matrix Factorization -- Use Case Scenario: Retailer Reliability Ecommerce -- Discussion -- Notes -- Chapter 7 Boolean Methods of Classification and Prediction -- Rule-Based Text Classification and Prediction -- Method Description -- Characteristics of Boolean Rule Methods -- Example of Boolean Rules Applied to Text Mining Vaccine Data -- An Example Analysis -- Summary -- Notes -- Chapter 8 Speech to Text -- Introduction -- Processing Audio Feedback -- Business Problem -- Process Components -- Further Analysis: Sentiment and Latent Topics -- Conclusion -- Notes -- Appendix A Mood State Identification in Text -- Origins of Mood State Identification -- An Approach to Mood State Developed at SAS -- Background and Discussion -- An Example Mood State Process Flow -- Notes -- Appendix B A Design Approach to Characterizing Users Based on AudioInteractions on a Conversational AI Platform -- Audio-Based User Interaction Inference -- Recommendation Perspective vs. Conventional -- Sole Dependency on Text-Based Bots -- Implementation Scenario: Voice-Based Conversational AI Platform -- Component Process Flow -- Constructed Interaction -- Note -- Appendix C SAS Patents in Text Analytics -- Glossary -- Index -- EULA. 330 $aThis book offers a thorough introduction to the framework and dynamics of text analyticsand the underlying principles at workand provides an in-depth examination of the interplay between qualitative-linguistic and quantitative, data-driven aspects of data analysis. -- Edited summary from book 410 0$aWiley and SAS business series. 606 $aText data mining 608 $aElectronic books. 615 0$aText data mining. 676 $a006.312 700 $aDe Ville$b Barry$01245729 702 $aBawa$b Gurpreet Singh$f1983- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910555092303321 996 $aText as data$92889015 997 $aUNINA LEADER 02129nam 2200601Ia 450 001 9910702299803321 005 20121031103925.0 035 $a(CKB)5470000002425146 035 $a(OCoLC)815518272 035 $a(EXLCZ)995470000002425146 100 $a20121031d2012 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aShielded-twisted-pair cable model for chafe fault detection via time-domain reflectometry$b[electronic resource] /$fStefan R. 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