TY  - BOOK
AU  - Das, Srinjoy (PG190991)
AU  - Devkar, Ganesh (Guide)
TI  - Harnessing online stakeholder interactions for analyzing public inconvenience caused by construction of indian metro rail projects (Softcopy is also available)
U1  - CEM TH-0401 
PY  - 2021///
N1  - TABLE OF CONTENTS 
ABSTRACT   i 
UNDERTAKING  v 
CERTIFICATE   vii 
ACKNOWLEDGEMENTS   ix 
NOMENCLATURE  xi 
LIST OF FIGURES   xvii 
LIST OF TABLES   xix 
1 CHAPTER-1: INTRODUCTION   3 
1.1 Introduction   3 
1.2 Objectives   4 
1.3 Scope of the work   4 
1.4 Methodology   4 
2 CHAPTER-2: LITERATURE REVIEW   7 
2.1 Overview   7 
2.2 Public Inconvenience   7 
2.3 Construction caused inconvenience   8 
2.1 Public inconvenience caused by Metro Projects in India   13 
2.2 Social Media as a database   16 
2.3 Twitter as a preferred social medium for research   18 
2.4 Advantages and Challenges of Social Media   19 
2.5 Public participation using social media   20 
2.6 Methodology   24 
2.7 Metro Rail Agencies in India using social media platforms   24 
2.8 Discussions and research position   25 
3 CHAPTER-3: RESEARCH METHODOLOGY   27 
3.1 Overview   27 
3.2 Case Studies   27 
3.3 Longitudinal Research and Sampling  28 
3.4 Twitter Data   29 
3.4.1 Data Extraction   30 
3.4.2 Data Pre-processing   31 
3.5 Content Analysis   32 
3.6 Topic Modelling   32 
3.7 Sentiment Analysis   33 
3.8 Text Analytics   33 
3.9 Social Network Analysis   34 
4 CHAPTER-4: DATA COLLECTION   35 
4.1 Overview   35 
4.2 Developing Keywords for Sample   35 
4.3 Extracting the data   37 
4.4 Data De-duplication   38 
4.5 Text Pre-processing   38 
5 CHAPTER-5: DATA ANALYSIS AND RESULTS   41 
5.1 Overview   41 
5.2 Content Analysis of the Data  41 
5.2.1 Usergroup Identification   41 
5.3 Sentiment Analysis   42 
5.4 Text Analytics and Topic Modeling   42 
5.5 Social Network Analysis   43 
5.6 Case Study 1 - Mumbai Metro   43 
5.6.1 Inconvenience Categorization   43 
5.6.2 User-groups Categorization   45 
5.6.3 Sentiment Analysis   47 
5.6.4 Text Analytics and Topic Modeling   50 
5.6.5 Social Network Analysis   54 
5.7 Case Study 2 – Pune Metro   57 
5.7.1 Inconvenience Categorization   57 
5.7.2 User-groups Categorization   59 
5.7.3 Sentiment Analysis   61 
5.7.4 Text Analytics and Topic Modeling   64 
5.7.5 Social Network Analysis   68 
5.8 Case Study 3- Bangalore Metro   72 
5.8.1 Inconvenience Categorization   73 
5.8.2 User-groups Categorization   75 
5.8.3 Sentiment Analysis   77 
5.8.4 Text Analytics and Topic Modeling   80 
5.8.5 Social Network Analysis   83 
5.9 Case Study 4 - Kolkata Metro   87 
5.9.1 Inconvenience Categorization   87 
5.9.2 User-groups Categorization   89 
5.9.3 Sentiment Analysis   90 
5.9.4 Text Analytics and Topic Modeling   94 
5.9.5 Social Network Analysis   97 
5.10 Semi-Structured Interviews   101 
6 CHAPTER-6: CROSS – CASE ANALYSIS   105 
6.1 Overview   105 
6.2 Inconveniences Analysis Comparison  105 
6.3 Sentiments Comparison   106 
6.4 Stakeholders Comparison   107 
6.5 Word Frequency Comparison   108 
6.6 Social Network Analysis Comparison   110 
7 CHAPTER-7: CONCLUSION AND RECOMMENDATION   115 
7.1 Conclusion   115 
7.2 Research Limitations   116 
7.3 Future Scope   117 
References   119 
Annexure 1 – Inconvenience Parameters Comparison Table   125 
Annexure 2 – Research Methodology of Twitter data across construction related papers   126 
Annexure 3 – Research Methodology of Twitter data across non-construction related papers . 129 
Annexure 4 – Different Research Methods applied on Twitter data across different papers ..... 132 
Annexure 5 – Research Methodology   134 
Annexure 6 – Semi-structured interview questions   135 
Annexure 7 – Mumbai tweets examples   136 
Annexure 8 – Pune tweets examples  138 
Annexure 9 – Bangalore tweets examples   140 
Annexure 10 – Kolkata tweets examples   142

ER  -