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Functional applications of text analytics systems / / Steven Simske and Marie Vans, editors
| Functional applications of text analytics systems / / Steven Simske and Marie Vans, editors |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Denmark : , : River Publishers, , [2021] |
| Descrizione fisica | 1 online resource (292 pages) |
| Disciplina | 006.312 |
| Collana | River Publishers Series in Document Engineering |
| Soggetto topico | Text data mining |
| ISBN |
1-00-333822-4
1-003-33822-4 1-000-79358-3 87-7022-342-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgement -- List of Figures -- List of Tables -- List of Abbreviations -- 1: Linguistics and NLP -- 1.1 Introduction -- 1.2 General Considerations -- 1.3 Machine Learning Aspects -- 1.3.1 Machine Learning Features -- 1.3.2 Other Machine Learning Approaches -- 1.4 Design/System Considerations -- 1.4.1 Sensitivity Analysis -- 1.4.2 Iterative Tradeoff in Approach -- 1.4.3 Competition - Cooperation Algorithms -- 1.4.4 Top-Down and Bottom-Up Designs -- 1.4.5 Agent-Based Models and Other Simulations -- 1.5 Applications/Examples -- 1.6 Test and Configuration -- 1.7 Summary -- 2: Summarization -- 2.1 Introduction -- 2.2 General Considerations -- 2.2.1 Summarization Approaches - An Overview -- 2.2.2 Weighting Factors in Extractive Summarization -- 2.2.3 Other Considerations in Extractive Summarization -- 2.2.4 Meta-Algorithmics and Extractive Summarization -- 2.3 Machine Learning Aspects -- 2.4 Design/System Considerations -- 2.5 Applications/Examples -- 2.6 Test and Configuration -- 2.7 Summary -- 3: Clustering, Classification, and Categorization -- 3.1 Introduction -- 3.1.1 Clustering -- 3.1.2 Regularization - An Introduction -- 3.1.3 Regularization and Clustering -- 3.2 General Considerations -- 3.3 Machine Learning Aspects -- 3.3.1 Machine Learning and Clustering -- 3.3.2 Machine Learning and Classification -- 3.3.3 Machine Learning and Categorization -- 3.4 Design/System Considerations -- 3.5 Applications/Examples -- 3.5.1 Query-Synonym Expansion -- 3.5.2 ANOVA, Cross-Correlation, and Image Classification -- 3.6 Test and Configuration -- 3.7 Summary -- 4: Translation -- 4.1 Introduction -- 4.2 General Considerations -- 4.2.1 Review of Relevant Prior Research -- 4.2.2 Summarization as a Means to Functionally Grade the Accuracy of Translation.
4.3 Machine Learning Aspects -- 4.3.1 Summarization and Translation -- 4.3.2 Document Reading Order -- 4.3.3 Other Machine Learning Considerations -- 4.4 Design/System Considerations -- 4.5 Applications/Examples -- 4.6 Test and Configuration -- 4.7 Summary -- 5: Optimization -- 5.1 Introduction -- 5.2 General Considerations -- 5.3 Machine Learning Aspects -- 5.4 Design/System Considerations -- 5.5 Applications/Examples -- 5.5.1 Document Clustering -- 5.5.2 Document Classification -- 5.5.3 Web Mining -- 5.5.4 Information and Content Extraction -- 5.5.5 Natural Language Processing -- 5.5.6 Sentiment Analysis -- 5.5.7 Native vs. Non-Native Speakers -- 5.5.8 Virtual Reality and Augmented Reality -- 5.6 Test and Configuration -- 5.7 Summary -- 6: Learning -- 6.1 Introduction -- 6.1.1 Reading Order -- 6.1.2 Repurposing of Text -- 6.1.3 Philosophies of Learning -- 6.2 General Considerations -- 6.2.1 Metadata -- 6.2.2 Pathways of Learning -- 6.3 Machine Learning Aspects -- 6.3.1 Learning About Machine Learning -- 6.3.2 Machine Learning Constraints -- 6.4 Design/System Considerations -- 6.4.1 Do Not Use Machine Learning for the Sake of Using Machine Learning -- 6.4.2 Learning to Learn -- 6.4.3 Prediction Time -- 6.5 Applications/Examples -- 6.5.1 Curriculum Development -- 6.5.2 Customized Education Planning -- 6.5.3 Personalized Rehearsing -- 6.6 Test and Configuration -- 6.7 Summary -- 7: Testing and Configuration -- 7.1 Introduction -- 7.2 General Considerations -- 7.2.1 Data-Ops -- 7.2.2 Text Analytics and Immunological Data -- 7.2.3 Text Analytics and Cybersecurity -- 7.2.4 Data-Ops and Testing -- 7.3 Machine Learning Aspects -- 7.4 Design/System Considerations -- 7.5 Applications/Examples -- 7.6 Test and Configuration -- 7.7 Summary -- Index -- About the Author. |
| Record Nr. | UNINA-9910794691603321 |
| Denmark : , : River Publishers, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Functional applications of text analytics systems / / Steven Simske and Marie Vans, editors
| Functional applications of text analytics systems / / Steven Simske and Marie Vans, editors |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Denmark : , : River Publishers, , [2021] |
| Descrizione fisica | 1 online resource (292 pages) |
| Disciplina | 006.312 |
| Collana | River Publishers Series in Document Engineering |
| Soggetto topico | Text data mining |
| ISBN |
1-00-333822-4
1-003-33822-4 1-000-79358-3 87-7022-342-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgement -- List of Figures -- List of Tables -- List of Abbreviations -- 1: Linguistics and NLP -- 1.1 Introduction -- 1.2 General Considerations -- 1.3 Machine Learning Aspects -- 1.3.1 Machine Learning Features -- 1.3.2 Other Machine Learning Approaches -- 1.4 Design/System Considerations -- 1.4.1 Sensitivity Analysis -- 1.4.2 Iterative Tradeoff in Approach -- 1.4.3 Competition - Cooperation Algorithms -- 1.4.4 Top-Down and Bottom-Up Designs -- 1.4.5 Agent-Based Models and Other Simulations -- 1.5 Applications/Examples -- 1.6 Test and Configuration -- 1.7 Summary -- 2: Summarization -- 2.1 Introduction -- 2.2 General Considerations -- 2.2.1 Summarization Approaches - An Overview -- 2.2.2 Weighting Factors in Extractive Summarization -- 2.2.3 Other Considerations in Extractive Summarization -- 2.2.4 Meta-Algorithmics and Extractive Summarization -- 2.3 Machine Learning Aspects -- 2.4 Design/System Considerations -- 2.5 Applications/Examples -- 2.6 Test and Configuration -- 2.7 Summary -- 3: Clustering, Classification, and Categorization -- 3.1 Introduction -- 3.1.1 Clustering -- 3.1.2 Regularization - An Introduction -- 3.1.3 Regularization and Clustering -- 3.2 General Considerations -- 3.3 Machine Learning Aspects -- 3.3.1 Machine Learning and Clustering -- 3.3.2 Machine Learning and Classification -- 3.3.3 Machine Learning and Categorization -- 3.4 Design/System Considerations -- 3.5 Applications/Examples -- 3.5.1 Query-Synonym Expansion -- 3.5.2 ANOVA, Cross-Correlation, and Image Classification -- 3.6 Test and Configuration -- 3.7 Summary -- 4: Translation -- 4.1 Introduction -- 4.2 General Considerations -- 4.2.1 Review of Relevant Prior Research -- 4.2.2 Summarization as a Means to Functionally Grade the Accuracy of Translation.
4.3 Machine Learning Aspects -- 4.3.1 Summarization and Translation -- 4.3.2 Document Reading Order -- 4.3.3 Other Machine Learning Considerations -- 4.4 Design/System Considerations -- 4.5 Applications/Examples -- 4.6 Test and Configuration -- 4.7 Summary -- 5: Optimization -- 5.1 Introduction -- 5.2 General Considerations -- 5.3 Machine Learning Aspects -- 5.4 Design/System Considerations -- 5.5 Applications/Examples -- 5.5.1 Document Clustering -- 5.5.2 Document Classification -- 5.5.3 Web Mining -- 5.5.4 Information and Content Extraction -- 5.5.5 Natural Language Processing -- 5.5.6 Sentiment Analysis -- 5.5.7 Native vs. Non-Native Speakers -- 5.5.8 Virtual Reality and Augmented Reality -- 5.6 Test and Configuration -- 5.7 Summary -- 6: Learning -- 6.1 Introduction -- 6.1.1 Reading Order -- 6.1.2 Repurposing of Text -- 6.1.3 Philosophies of Learning -- 6.2 General Considerations -- 6.2.1 Metadata -- 6.2.2 Pathways of Learning -- 6.3 Machine Learning Aspects -- 6.3.1 Learning About Machine Learning -- 6.3.2 Machine Learning Constraints -- 6.4 Design/System Considerations -- 6.4.1 Do Not Use Machine Learning for the Sake of Using Machine Learning -- 6.4.2 Learning to Learn -- 6.4.3 Prediction Time -- 6.5 Applications/Examples -- 6.5.1 Curriculum Development -- 6.5.2 Customized Education Planning -- 6.5.3 Personalized Rehearsing -- 6.6 Test and Configuration -- 6.7 Summary -- 7: Testing and Configuration -- 7.1 Introduction -- 7.2 General Considerations -- 7.2.1 Data-Ops -- 7.2.2 Text Analytics and Immunological Data -- 7.2.3 Text Analytics and Cybersecurity -- 7.2.4 Data-Ops and Testing -- 7.3 Machine Learning Aspects -- 7.4 Design/System Considerations -- 7.5 Applications/Examples -- 7.6 Test and Configuration -- 7.7 Summary -- Index -- About the Author. |
| Record Nr. | UNINA-9910811011803321 |
| Denmark : , : River Publishers, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||