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عنوان
Text Mining for Qualitative Data Analysis in the Social Sciences :

پدید آورنده

موضوع
Computer science.,Data mining-- Germany.,Natural language processing (Computer science),Social sciences-- Data processing.

رده
QA76
.
9
.
N38

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
3658153091
(Number (ISBN
9783658153090
Erroneous ISBN
3658153083
Erroneous ISBN
9783658153083

NATIONAL BIBLIOGRAPHY NUMBER

Number
b435255

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Text Mining for Qualitative Data Analysis in the Social Sciences :
General Material Designation
[Book]
Other Title Information
A Study on Democratic Discourse in Germany.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (307 pages).

SERIES

Series Title
Kritische Studien zur Demokratie

GENERAL NOTES

Text of Note
Description based upon print version of record

CONTENTS NOTE

Text of Note
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
Text of Note
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
Text of Note
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
Text of Note
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
Text of Note
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
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OTHER EDITION IN ANOTHER MEDIUM

Title
Text Mining for Qualitative Data Analysis in the Social Sciences : A Study on Democratic Discourse in Germany
International Standard Book Number
9783658153083

TOPICAL NAME USED AS SUBJECT

Computer science.
Data mining-- Germany.
Natural language processing (Computer science)
Social sciences-- Data processing.

DEWEY DECIMAL CLASSIFICATION

Number
006
.
35

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA76
.
9
.
N38

PERSONAL NAME - PRIMARY RESPONSIBILITY

Wiedemann, Gregor,1983-

CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY

Ohio Library and Information Network.

ORIGINATING SOURCE

Date of Transaction
20161119011357.6
Cataloguing Rules (Descriptive Conventions))
rda

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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