Web Content Mining for Analyzing Job Requirements in Online Job Advertisements
1st Edition
Published on 14. December 2015
248 pages
978-3-86359-386-5 (ISBN)
Description
The analysis of job requirements is crucial for companies and job seekers. The thesis deals with developing a web content mining process for analyzing job requirements in online job advertisements. It combines methods from big data analytics, knowledge discovery in databases, data mining, web mining, and natural language processing. In the future, the web content mining process can be integrated into an overarching recruiting 4.0 framework to support decision-making processes.
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Book
12/2015
Apprimus Verlag
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Content
- Intro
- Contents
- List of Abbreviations
- 1 Introduction
- 1.1 Motivation
- 1.2 Research Design and Research Questions
- 1.3 Thesis Outline
- 2 Definition of Key Terms and Methods
- 2.1 Introduction
- 2.2 Definition of Key Terms
- 2.2.1 Job Requirements
- 2.2.2 Online Job Advertisements
- 2.3 Methods of Job Requirement Analysis
- 2.3.1 Quantitative Methods in Social Research
- 2.3.2 Job Advertisement Analysis
- 2.4 Summary
- 3 State of the Art in Technology of Web Content Mining
- 3.1 Introduction
- 3.2 Definitions and Related Research Fields
- 3.2.1 Terms and Definitions
- 3.2.2 Related Research Fields
- 3.3 Motivational Background
- 3.4 Methodological Foundations of Web Content Mining
- 3.4.1 Overview
- 3.4.2 The KDD Process
- 3.4.3 Subtasks of Web Mining
- 3.4.4 Summary
- 3.5 Recent Research on Web Content Mining
- 3.5.1 Overview
- 3.5.2 Data Sources and Search Procedure
- 3.5.3 Overview of Previous Review Articles and Text Books
- 3.5.4 Overview of Relevant Research Articles on Web Content Mining
- 3.5.5 Summary
- 3.6 Summary
- 4 Comparative Analysis of Methods for Job Requirement Analysis
- 4.1 Introduction
- 4.2 Surveys using Quantitative Methods from Social Research
- 4.2.1 Quantitative Surveys using Questionnaires
- 4.2.2 Quantitative Surveys using Structured Interviews
- 4.2.3 Quantitative Surveys using Both Methods
- 4.3 Surveys using Job Advertisement Analysis
- 4.3.1 Job Advertisement Analyses using Content Analysis
- 4.3.2 Job Advertisement Analyses using Big Data Analytics
- 4.4 Comparative Analysis of Survey Methods
- 4.4.1 Introduction
- 4.4.2 Purpose and Scope of Surveys
- 4.4.3 Applied Methods
- 4.4.4 Data Sources and Characteristics
- 4.4.5 Sampling
- 4.4.6 Summary
- 4.5 Conclusion
- 5 Design and Implementation of the Web Content Mining Process
- 5.1 Introduction
- 5.2 Design of the Web Content Mining Process
- 5.3 Implementation of Web Information Retrieval and Search
- 5.3.1 Terms and Definitions
- 5.3.2 Web Crawling
- 5.3.3 Characteristics of Target Data
- 5.3.4 Problems and Solutions
- 5.4 Implementation of Information Selection and Preprocessing
- 5.4.1 Terms and Definitions
- 5.4.2 Data Cleaning
- 5.4.3 Language Detection
- 5.4.4 Natural Language Processing
- 5.4.5 Characteristics of Preprocessed Data
- 5.4.6 Problems and Solutions
- 5.5 Implementation of Information Extraction and Integration
- 5.5.1 Terms and Definitions
- 5.5.2 Web Information Extraction
- 5.5.3 Integration
- 5.5.4 Characteristics of Transformed Data
- 5.5.5 Problems and Solutions
- 5.6 Implementation of Generalization
- 5.6.1 Terms and Definitions
- 5.6.2 N-Grams and Word Co-Occurrences
- 5.6.3 Characteristics of Patterns
- 5.6.4 Problems and Solutions
- 5.7 Implementation of Analysis and Testing of Mined Patterns
- 5.7.1 Terms and Definitions
- 5.7.2 Interpretation
- 5.7.3 Validation
- 5.7.4 Problems and Solutions
- 5.8 Implementation of Visualization
- 5.8.1 Terms and Definitions
- 5.8.2 Visual Representations
- 5.8.3 Problems and Solutions
- 5.9 Summary
- 6 Results of Applying the Web Content Mining Process
- 6.1 Introduction
- 6.2 General Description of the Sample
- 6.3 References to Professional Requirements
- 6.3.1 Qualification Level
- 6.3.2 Professional Experiences
- 6.3.3 Language Requirements
- 6.4 References to Methodological Requirements
- 6.5 References to Social Requirements
- 6.6 References to Personal Requirements
- 6.7 References to the Job Position
- 6.8 References to the Job Task
- 6.9 References to the Company
- 6.9.1 Location
- 6.9.2 Business Sectors
- 6.9.3 Internationalization
- 6.10 Comparison with the Results of Previous Surveys on Job Requirements
- 6.10.1 Introduction
- 6.10.2 Professional Requirements
- 6.10.3 Methodological Requirements
- 6.10.4 Social Requirements
- 6.10.5 Personal Requirements
- 6.10.6 Job Positions & Job Tasks
- 6.10.7 Company
- 6.11 Conclusion
- 7 Evaluation of the Web Content Mining Process
- 7.1 Introduction
- 7.2 Quality Criteria for Research
- 7.3 Evaluation Procedure
- 7.4 Indicators
- 7.5 Objectivity
- 7.6 Validity
- 7.7 Reliability
- 7.8 Summary
- 8 Conclusion and Future Research
- 8.1 General Results
- 8.2 Limitations
- 8.3 Transfer
- 8.4 Future Research
- 9 Summary
- 10 References
- 10.1 List of Figures
- 10.2 List of Tables
- 10.3 List of Equations
- 10.4 Bibliography
- 11 Annex
- 11.1 Overview of Relevant Research Articles on Web Content Mining
- 11.2 Overview of Surveys using Quantitative Methods from Social Research
- 11.3 Overview of Job Advertisement Analyses using Content Analysis
- 11.4 Overview of Job Advertisement Analyses using Big Data Analytics
- 11.5 XML Code of N-Gram Analysis
- 11.6 Term Occurrences Related to Job Tasks
- 11.7 Term Occurrences Related to Location
