CHAPTER 5 CONCLUSION AND SUGGESTIONS
5.3 F UTURE R ESEARCH
The future research of this study has five parts:
1. Adding Investment Suggestions
The topic of this study is to find out the potential trends, but even though the trends has been noticed, companies might still have no clue to decide which to develop first. Therefore, it would have much clearer directions for discussing the investment solutions of the trend found in the study.
2. Adjusting Data Visualization
This study uses the tool KeyGraph to analyze the results. Except for KeyGraph, there have other software with different type of presentation that can be used to present the visualization or correlations of the related research, like SAS Text Miner.
3. Adding Factors of Weight Calculations
This research on the basic notion of the original research of KeyGraph is to include only the co-occurrence to the caculcation of the weights. For the future research, the factor of weight calculations and the distribution of high-frequent and low-frequent terms can also include the columns of one term’s occurrence, which can much more strengthen term’s value of importance to be selected as keywords.
4. Data Selection
Due to the characteristics of patent data, the results are mostly the news have
mentioned before. For the future research, the similar topic can be analyzed through the data of social media, which people all bring many novel ideas to discuss, and with the methods, the potential and newest trend could be more significantly discovered.
5. Detailed Research Topic
From the results of this research, there are some technologies constantly appearing through the three periods, while some other technologies are gradually fading away. It would be another interesting topic to go further research on the reasons behind these changes.
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