عنوان
پدید آورنده
موضوع
رده
QA76.9.N38
QA76
.
9
.
N38
کتابخانه
محل استقرار
3658153091
9783658153090
3658153083
9783658153083
b435255
Text Mining for Qualitative Data Analysis in the Social Sciences :
[Book]
A Study on Democratic Discourse in Germany.
1 online resource (307 pages).
Kritische Studien zur Demokratie
Description based upon print version of record
Preface; Contents; List of Figures; List of Tables; List of Abbreviations; 1. Introduction: Qualitative Data Analysis in a Digital World; 1.1. The Emergence of "Digital Humanities"; 1.2. Digital Text and Social Science Research; 1.3. Example Study: Research Question and Data Set; 1.3.1. Democratic Demarcation; 1.3.2. Data Set; 1.4. Contributions and Structure of the Study; 2. Computer-Assisted Text Analysis in the Social Sciences; 2.1. Text as Data between Quality and Quantity; 2.2. Text as Data for Natural Language Processing; 2.2.1. Modeling Semantics; 2.2.2. Linguistic Preprocessing
2.2.3. Text Mining Applications2.3. Types of Computational Qualitative Data Analysis; 2.3.1. Computational Content Analysis; 2.3.2. Computer-Assisted Qualitative Data Analysis; 2.3.3. Lexicometrics for Corpus Exploration; 2.3.4. Machine Learning; 3. Integrating Text Mining Applications for Complex Analysis; 3.1. Document Retrieval; 3.1.1. Requirements; 3.1.2. Key Term Extraction; 3.1.3. Retrieval with Dictionaries; 3.1.4. Contextualizing Dictionaries; 3.1.5. Scoring Co-Occurrences; 3.1.6. Evaluation; 3.1.7. Summary of Lessons Learned; 3.2. Corpus Exploration; 3.2.1. Requirements
3.2.2. Identification and Evaluation of Topics3.2.3. Clustering of Time Periods; 3.2.4. Selection of Topics; 3.2.5. Term Co-Occurrences; 3.2.6. Keyness of Terms; 3.2.7. Sentiments of Key Terms; 3.2.8. Semantically Enriched Co-Occurrence Graphs; 3.2.9. Summary of Lessons Learned; 3.3. Classification for Qualitative Data Analysis; 3.3.1. Requirements; 3.3.2. Experimental Data; 3.3.3. Individual Classification; 3.3.4. Training Set Size and Semantic Smoothing; 3.3.5. Classification for Proportion and Trend Analysis; 3.3.6. Active Learning; 3.3.7. Summary of Lessons Learned
4. Exemplary Study: Democratic Demarcation in Germany4.1. Democratic Demarcation; 4.2. Exploration; 4.2.1. Democratic Demarcation from 1950-1956; 4.2.2. Democratic Demarcation from 1957-1970; 4.2.3. Democratic Demarcation from 1971-1988; 4.2.4. Democratic Demarcation from 1989-2000; 4.2.5. Democratic Demarcation from 2001-2011; 4.3. Classification of Demarcation Statements; 4.3.1. Category System; 4.3.2. Supervised Active Learning of Categories; 4.3.3. Category Trends and Co-Occurrences; 4.4. Conclusions and Further Analyses; 5. V-TM -- A Methodological Framework for Social Science
5.1. Requirements5.1.1. Data Management; 5.1.2. Goals of Analysis; 5.2. Workflow Design; 5.2.1. Overview; 5.2.2. Workflows; 5.3. Result Integration and Documentation; 5.3.1. Integration; 5.3.2. Documentation; 5.4. Methodological Integration; 6. Summary: Integrating Qualitative and Computational Text Analysis; 6.1. Meeting Requirements; 6.2. Exemplary Study; 6.3. Methodological Systematization; 6.4. Further Developments; A. Data Tables, Graphs and Algorithms; Bibliography
0
8
8
8
8
Text Mining for Qualitative Data Analysis in the Social Sciences : A Study on Democratic Discourse in Germany
9783658153083
Computer science.
Data mining-- Germany.
Natural language processing (Computer science)
Social sciences-- Data processing.
006
.
35
QA76
.
9
.
N38
Wiedemann, Gregor,1983-
Ohio Library and Information Network.
20161119011357.6
rda
مطالعه متن کتاب [Book]
Y
