Essays on text mining: methodological advances and practical applications to scientific texts
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| Main Author: | |
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| Format: | Thesis Book |
| Language: | English |
| Published: |
Aachen
2020
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis Inhaltsverzeichnis |
| Physical Description: | x, 213 Seiten Illustrationen, Diagramme |
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| adam_text | TABLE OF CONTENTS Parti...................................................................................................................... Synopsis...............................................................................................................3 Introduction.................................................................................................... 3 Structure of the Thesis................................................................................... 6 Summaries of the Essays...............................................................................7 Essay I: Text Clustering Revisited - New Evidence on Algorithm Performance and Quality Metrics........................................................... 7 Essay II: From Text to Data - On the Role and Effect of Text Preprocessing in Text Mining Research................................................. 8 Essay III: The Explanatory Power of Citations - A New Approach to Unpacking Impact in Science..................................................................9 Essay IV: I/O of IS - Mapping Interdisciplinary Knowledge Flows by Topic Domain.......................................................................................... 10 Overall Contributions and Implications.................................................... 14 Conclusion.....................................................................................................17 References.....................................................................................................19
Partii.................................................................................................................... Topic Modeling Revisited: New Evidence on Algorithm Performance and Quality Metrics................................................................................................. 27 Introduction.................................................................................................. 28 Background.................................................................................................. 30 Topic Modeling Algorithms..................................................................31 Topic Modeling Evaluation Metrics..................................................... 34 Study Design................................................................................................ 38 Results...........................................................................................................42 Comparison of Topic Modeling Algorithms....................................... 42 Comparison of Topic Modeling Result Assessment Metrics............. 47 Discussion.................................................................................................... 51 і
Comparison to Prior Research on Topic Modeling Performance.....52 Comparison to Prior Research on Topic Modeling Evaluation Metrics ............................................................................................................. 53 Limitations and Future Research..............................................................55 Concluding Remarks................................................................................ 55 References................................................................................................ 57 Appendix: Details on the Study Design...................................................64 Algorithm Parameter Settings.............................................................64 Composition of the Test Datasets........................................................65 From Text to Data: On the Role and Effect of Text Preprocessing in Text Mining Research.......................................................................................... 71 Introduction..............................................................................................72 From Text to Data....................................................................................75 Preprocessing Techniques...................................................................75 Structural Parsing.......................................................................... 76 Part-of-Speech Tagging.................................................................. 76 Normalization................................................................................. 76
Tokenization.................................................................................... 77 Compound Word Identification......................................................78 Filtering.......................................................................................... 79 Lemmatization and Stemming.........................................................80 Text Vectorization............................................................................... 81 Study Design............................................................................................83 Latent Dirichlet Allocation....................................................................... 83 Result Evaluation..................................................................................... 85 Experimental Setup.................................................................................. 86 Test Datasets............................................................................................ 89 Results..................................................................................................... .. Guidelines................................................................................................ .. Conclusion............................................................................................... .. References................................................................................. լՕ լ Appendix: Details on the Preprocessing Results....................................106
The Explanatory Power of Citations: A New Approach to Unpacking Impact in Science..........................................................................................Ц 7 Introduction................................................................................................ 118 Evolution of Citation Analysis.................................................................120 Methodology.............................................................................................. 123 Data Acquisition................................................................................... 123 Data Preparation................................................................................... 124 Reference Identification...................................................................... 125 Citation Environment Extraction.........................................................126 Text Preprocessing...............................................................................126 Text Mining Procedure........................................................................ 128 Result Visualization.............................................................................130 Results.........................................................................................................131 Impact Analysis of a Most-Cited Publication................................... 132 Impact Analysis of a Most-Cited Author...........................................134 Impact Analysis of the Technology Acceptance Model...................136
Conclusion...................................................................................................141 Contribution to Research and Practice............................................... 141 Contribution to IS Research................................................................ 142 Limitations and Future Research.........................................................143 References...................................................................................................144 HO ofInformation Systems: Mapping Interdisciplinary Knowledge Flows by Topic Domain............................................................................................153 Introduction.................................................................................................154 Conceptual Background............................................................................157 The Information Systems Discipline.................................................. 157 Previous Studies on the Intellectual Structure of Information Systems ................................................................................................................ 159 Manual Studies........................................................................... 160 Citation Analysis Studies............................................................161 Topic Modeling Studies..............................................................163 Synthesis.................................................................................................165 Research
methodology..............................................................................166 Data Acquisition....................................................................................167 Data Preparation................................................................................... 169 Knowledge-flow Analysis................................................................... 171 iii
Topic Modeling..................................................................................171 Results.....................................................................................................175 Knowledge Import and Export on the Level of Disciplines.............176 Knowledge Import and Export on the Level of Journals.................177 Knowledge Import and Export from and to IS Research Topics....179 Discussion...............................................................................................186 Limitations and Future Research............................................................ 188 Concluding Remarks...............................................................................190 References...............................................................................................191 Appendix A: Details on the Knowledge Flows on the Discipline and Journal Level...........................................................................................197 Knowledge Flows Through the Disciplines......................................197 Knowledge Flows Through the Journals.......................................... 201 Appendix B: Details on IS Research Topic Knowledge Flow Analysis .................................................................................................................207 IV
TABLE OF CONTENTS Parti...................................................................................................................... Synopsis...............................................................................................................3 Introduction.................................................................................................... 3 Structure of the Thesis................................................................................... 6 Summaries of the Essays...............................................................................7 Essay I: Text Clustering Revisited - New Evidence on Algorithm Performance and Quality Metrics........................................................... 7 Essay II: From Text to Data - On the Role and Effect of Text Preprocessing in Text Mining Research................................................. 8 Essay III: The Explanatory Power of Citations - A New Approach to Unpacking Impact in Science..................................................................9 Essay IV: I/O of IS - Mapping Interdisciplinary Knowledge Flows by Topic Domain.......................................................................................... 10 Overall Contributions and Implications.................................................... 14 Conclusion.....................................................................................................17 References.....................................................................................................19
Partii.................................................................................................................... Topic Modeling Revisited: New Evidence on Algorithm Performance and Quality Metrics................................................................................................. 27 Introduction.................................................................................................. 28 Background.................................................................................................. 30 Topic Modeling Algorithms..................................................................31 Topic Modeling Evaluation Metrics..................................................... 34 Study Design................................................................................................ 38 Results...........................................................................................................42 Comparison of Topic Modeling Algorithms....................................... 42 Comparison of Topic Modeling Result Assessment Metrics............. 47 Discussion.................................................................................................... 51 і
Comparison to Prior Research on Topic Modeling Performance.....52 Comparison to Prior Research on Topic Modeling Evaluation Metrics ............................................................................................................. 53 Limitations and Future Research..............................................................55 Concluding Remarks................................................................................ 55 References................................................................................................ 57 Appendix: Details on the Study Design...................................................64 Algorithm Parameter Settings.............................................................64 Composition of the Test Datasets........................................................65 From Text to Data: On the Role and Effect of Text Preprocessing in Text Mining Research.......................................................................................... 71 Introduction..............................................................................................72 From Text to Data....................................................................................75 Preprocessing Techniques...................................................................75 Structural Parsing.......................................................................... 76 Part-of-Speech Tagging.................................................................. 76 Normalization................................................................................. 76
Tokenization.................................................................................... 77 Compound Word Identification......................................................78 Filtering.......................................................................................... 79 Lemmatization and Stemming.........................................................80 Text Vectorization............................................................................... 81 Study Design............................................................................................83 Latent Dirichlet Allocation....................................................................... 83 Result Evaluation..................................................................................... 85 Experimental Setup.................................................................................. 86 Test Datasets............................................................................................ 89 Results..................................................................................................... .. Guidelines................................................................................................ .. Conclusion............................................................................................... .. References................................................................................. լՕ լ Appendix: Details on the Preprocessing Results....................................106
The Explanatory Power of Citations: A New Approach to Unpacking Impact in Science..........................................................................................Ц 7 Introduction................................................................................................ 118 Evolution of Citation Analysis.................................................................120 Methodology.............................................................................................. 123 Data Acquisition................................................................................... 123 Data Preparation................................................................................... 124 Reference Identification...................................................................... 125 Citation Environment Extraction.........................................................126 Text Preprocessing...............................................................................126 Text Mining Procedure........................................................................ 128 Result Visualization.............................................................................130 Results.........................................................................................................131 Impact Analysis of a Most-Cited Publication................................... 132 Impact Analysis of a Most-Cited Author...........................................134 Impact Analysis of the Technology Acceptance Model...................136
Conclusion...................................................................................................141 Contribution to Research and Practice............................................... 141 Contribution to IS Research................................................................ 142 Limitations and Future Research.........................................................143 References...................................................................................................144 HO ofInformation Systems: Mapping Interdisciplinary Knowledge Flows by Topic Domain............................................................................................153 Introduction.................................................................................................154 Conceptual Background............................................................................157 The Information Systems Discipline.................................................. 157 Previous Studies on the Intellectual Structure of Information Systems ................................................................................................................ 159 Manual Studies........................................................................... 160 Citation Analysis Studies............................................................161 Topic Modeling Studies..............................................................163 Synthesis.................................................................................................165 Research
methodology..............................................................................166 Data Acquisition....................................................................................167 Data Preparation................................................................................... 169 Knowledge-flow Analysis................................................................... 171 iii
Topic Modeling..................................................................................171 Results.....................................................................................................175 Knowledge Import and Export on the Level of Disciplines.............176 Knowledge Import and Export on the Level of Journals.................177 Knowledge Import and Export from and to IS Research Topics....179 Discussion...............................................................................................186 Limitations and Future Research............................................................ 188 Concluding Remarks...............................................................................190 References...............................................................................................191 Appendix A: Details on the Knowledge Flows on the Discipline and Journal Level...........................................................................................197 Knowledge Flows Through the Disciplines......................................197 Knowledge Flows Through the Journals.......................................... 201 Appendix B: Details on IS Research Topic Knowledge Flow Analysis .................................................................................................................207 IV
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| adam_txt |
TABLE OF CONTENTS Parti. Synopsis.3 Introduction. 3 Structure of the Thesis. 6 Summaries of the Essays.7 Essay I: Text Clustering Revisited - New Evidence on Algorithm Performance and Quality Metrics. 7 Essay II: From Text to Data - On the Role and Effect of Text Preprocessing in Text Mining Research. 8 Essay III: The Explanatory Power of Citations - A New Approach to Unpacking Impact in Science.9 Essay IV: I/O of IS - Mapping Interdisciplinary Knowledge Flows by Topic Domain. 10 Overall Contributions and Implications. 14 Conclusion.17 References.19
Partii. Topic Modeling Revisited: New Evidence on Algorithm Performance and Quality Metrics. 27 Introduction. 28 Background. 30 Topic Modeling Algorithms.31 Topic Modeling Evaluation Metrics. 34 Study Design. 38 Results.42 Comparison of Topic Modeling Algorithms. 42 Comparison of Topic Modeling Result Assessment Metrics. 47 Discussion. 51 і
Comparison to Prior Research on Topic Modeling Performance.52 Comparison to Prior Research on Topic Modeling Evaluation Metrics . 53 Limitations and Future Research.55 Concluding Remarks. 55 References. 57 Appendix: Details on the Study Design.64 Algorithm Parameter Settings.64 Composition of the Test Datasets.65 From Text to Data: On the Role and Effect of Text Preprocessing in Text Mining Research. 71 Introduction.72 From Text to Data.75 Preprocessing Techniques.75 Structural Parsing. 76 Part-of-Speech Tagging. 76 Normalization. 76
Tokenization. 77 Compound Word Identification.78 Filtering. 79 Lemmatization and Stemming.80 Text Vectorization. 81 Study Design.83 Latent Dirichlet Allocation. 83 Result Evaluation. 85 Experimental Setup. 86 Test Datasets. 89 Results. . Guidelines. . Conclusion. . References. լՕ լ Appendix: Details on the Preprocessing Results.106
The Explanatory Power of Citations: A New Approach to Unpacking Impact in Science.Ц 7 Introduction. 118 Evolution of Citation Analysis.120 Methodology. 123 Data Acquisition. 123 Data Preparation. 124 Reference Identification. 125 Citation Environment Extraction.126 Text Preprocessing.126 Text Mining Procedure. 128 Result Visualization.130 Results.131 Impact Analysis of a Most-Cited Publication. 132 Impact Analysis of a Most-Cited Author.134 Impact Analysis of the Technology Acceptance Model.136
Conclusion.141 Contribution to Research and Practice. 141 Contribution to IS Research. 142 Limitations and Future Research.143 References.144 HO ofInformation Systems: Mapping Interdisciplinary Knowledge Flows by Topic Domain.153 Introduction.154 Conceptual Background.157 The Information Systems Discipline. 157 Previous Studies on the Intellectual Structure of Information Systems . 159 Manual Studies. 160 Citation Analysis Studies.161 Topic Modeling Studies.163 Synthesis.165 Research
methodology.166 Data Acquisition.167 Data Preparation. 169 Knowledge-flow Analysis. 171 iii
Topic Modeling.171 Results.175 Knowledge Import and Export on the Level of Disciplines.176 Knowledge Import and Export on the Level of Journals.177 Knowledge Import and Export from and to IS Research Topics.179 Discussion.186 Limitations and Future Research. 188 Concluding Remarks.190 References.191 Appendix A: Details on the Knowledge Flows on the Discipline and Journal Level.197 Knowledge Flows Through the Disciplines.197 Knowledge Flows Through the Journals. 201 Appendix B: Details on IS Research Topic Knowledge Flow Analysis .207 IV
TABLE OF CONTENTS Parti. Synopsis.3 Introduction. 3 Structure of the Thesis. 6 Summaries of the Essays.7 Essay I: Text Clustering Revisited - New Evidence on Algorithm Performance and Quality Metrics. 7 Essay II: From Text to Data - On the Role and Effect of Text Preprocessing in Text Mining Research. 8 Essay III: The Explanatory Power of Citations - A New Approach to Unpacking Impact in Science.9 Essay IV: I/O of IS - Mapping Interdisciplinary Knowledge Flows by Topic Domain. 10 Overall Contributions and Implications. 14 Conclusion.17 References.19
Partii. Topic Modeling Revisited: New Evidence on Algorithm Performance and Quality Metrics. 27 Introduction. 28 Background. 30 Topic Modeling Algorithms.31 Topic Modeling Evaluation Metrics. 34 Study Design. 38 Results.42 Comparison of Topic Modeling Algorithms. 42 Comparison of Topic Modeling Result Assessment Metrics. 47 Discussion. 51 і
Comparison to Prior Research on Topic Modeling Performance.52 Comparison to Prior Research on Topic Modeling Evaluation Metrics . 53 Limitations and Future Research.55 Concluding Remarks. 55 References. 57 Appendix: Details on the Study Design.64 Algorithm Parameter Settings.64 Composition of the Test Datasets.65 From Text to Data: On the Role and Effect of Text Preprocessing in Text Mining Research. 71 Introduction.72 From Text to Data.75 Preprocessing Techniques.75 Structural Parsing. 76 Part-of-Speech Tagging. 76 Normalization. 76
Tokenization. 77 Compound Word Identification.78 Filtering. 79 Lemmatization and Stemming.80 Text Vectorization. 81 Study Design.83 Latent Dirichlet Allocation. 83 Result Evaluation. 85 Experimental Setup. 86 Test Datasets. 89 Results. . Guidelines. . Conclusion. . References. լՕ լ Appendix: Details on the Preprocessing Results.106
The Explanatory Power of Citations: A New Approach to Unpacking Impact in Science.Ц 7 Introduction. 118 Evolution of Citation Analysis.120 Methodology. 123 Data Acquisition. 123 Data Preparation. 124 Reference Identification. 125 Citation Environment Extraction.126 Text Preprocessing.126 Text Mining Procedure. 128 Result Visualization.130 Results.131 Impact Analysis of a Most-Cited Publication. 132 Impact Analysis of a Most-Cited Author.134 Impact Analysis of the Technology Acceptance Model.136
Conclusion.141 Contribution to Research and Practice. 141 Contribution to IS Research. 142 Limitations and Future Research.143 References.144 HO ofInformation Systems: Mapping Interdisciplinary Knowledge Flows by Topic Domain.153 Introduction.154 Conceptual Background.157 The Information Systems Discipline. 157 Previous Studies on the Intellectual Structure of Information Systems . 159 Manual Studies. 160 Citation Analysis Studies.161 Topic Modeling Studies.163 Synthesis.165 Research
methodology.166 Data Acquisition.167 Data Preparation. 169 Knowledge-flow Analysis. 171 iii
Topic Modeling.171 Results.175 Knowledge Import and Export on the Level of Disciplines.176 Knowledge Import and Export on the Level of Journals.177 Knowledge Import and Export from and to IS Research Topics.179 Discussion.186 Limitations and Future Research. 188 Concluding Remarks.190 References.191 Appendix A: Details on the Knowledge Flows on the Discipline and Journal Level.197 Knowledge Flows Through the Disciplines.197 Knowledge Flows Through the Journals. 201 Appendix B: Details on IS Research Topic Knowledge Flow Analysis .207 IV |
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| title | Essays on text mining methodological advances and practical applications to scientific texts |
| title_auth | Essays on text mining methodological advances and practical applications to scientific texts |
| title_exact_search | Essays on text mining methodological advances and practical applications to scientific texts |
| title_exact_search_txtP | Essays on text mining methodological advances and practical applications to scientific texts |
| title_full | Essays on text mining methodological advances and practical applications to scientific texts vorgelegt von Matthias Sebastian Rüdiger |
| title_fullStr | Essays on text mining methodological advances and practical applications to scientific texts vorgelegt von Matthias Sebastian Rüdiger |
| title_full_unstemmed | Essays on text mining methodological advances and practical applications to scientific texts vorgelegt von Matthias Sebastian Rüdiger |
| title_short | Essays on text mining |
| title_sort | essays on text mining methodological advances and practical applications to scientific texts |
| title_sub | methodological advances and practical applications to scientific texts |
| topic | Text Mining (DE-588)4728093-1 gnd Wissenschaftliche Literatur (DE-588)4066586-0 gnd Wissensextraktion (DE-588)4546354-2 gnd Zitatenanalyse (DE-588)4319296-8 gnd |
| topic_facet | Text Mining Wissenschaftliche Literatur Wissensextraktion Zitatenanalyse Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032252329&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032252329&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT rudigermatthiassebastian essaysontextminingmethodologicaladvancesandpracticalapplicationstoscientifictexts |
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