臺灣博碩士論文加值系統

The breakthrough of technology has not only made our daily life more convenient but also create a magnificent commercial and research value. The service robot is one of the best cases for exploring potential opportunities. Therefore, the approach of getting the current market index can not only from the media but also by reviewing the related research.
Thus, this paper will be conducted by the topic modeling analysis to identify the current research development and analyze the market attention based on the academic result. By applying the topic modeling, we can find out the hidden topic inside the numerous amounts of articles which have not been discovered yet. Furthermore, the study will apply the result from topic modeling into Latent Semantic Indexing which can help us to address the current market index for the service robot.
To reach the research proposal, the paper collected 383 service robot-related articles from authority open libraries and operate the topic modeling by Python. After the topic modeling, the open tool ‘’twinword’’ will be applied for Latent Semantic Indexing and concluded the result with the data from 8 nations.
The result has presented the market index that the customers are more interested in the service robot for elders. Furthermore, not only the home assistant robot is the main focus, the robotics for kids is also another popular keyword. The education element might be considered as their purchase intention. However, the data also reflect the keywords of definition and the knowledge clarification which might be illustrated as the industry still at the stage of research and design. The potential opportunities for future research are still wide and valuable to be explored.

Table of Contents
Chapter 1 Introduction 1
1.1 Background of the study 1
1.2 Research motivation 3
1.3 Research Objective 4
1.4 Research Process 7
Chapter 2 Literature Review 9
2.1 Service Robot 9
2.2 Keyword Marketing 12
Chapter 3 Research Methodology 15
3.1 Latent Dirichlet Allocation 15
3.2 Latent Semantic Indexing 19
Chapter 4 Research Result 22
4.1 LDA Result 22
4.2 LSI Result 25
4.3 Search Marketing Comparison 42
Chapter 5 Conclusions and Limitations 63
5.1 Research Conclusion 63
5.2 Practical Conclusion 64
5.3 Limitations and Future work 64
Reference List 65
Appendix 71

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