• Journal of the Korea society of information convergence
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• v.7 no.2
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• pp.49-57
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• 2014

Recently, opinion mining is introduced to extract useful information from SNS data and to evaluate the true intention of users. Opinion mining are required several efficient techniques to collect and analyze a large amount of SNS data and extract meaningful data from them. Therefore in this paper, we propose a parallel HDFS(Hadoop Distributed File System) and emotion functions based on Mapreduce to extract some emotional information of users from various unstructured big data on social networks. The experiment results have verified that the proposed system and functions perform faster than O(n) for data gathering time and loading time, and maintain stable load balancing for memory and CPU resources.

• Journal of the Korea Safety Management & Science
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• v.8 no.4
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• pp.219-238
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• 2006

Many corporations are accepting various kinds of business reform techniques to be adapted and overcome in this e-Business period. Among these techniques, team-organization is selected most in person/organization field. The introduction of team-organization is more needed and spread, so many corporations actually constructed team-organization formation form. But the result has not been active. Therefore after team-organization is introduced to improve the performance evaluation of team management, the result of team management performance should be correctly measured to find out and settle the problems of team-organization. The purpose of this research presents the development of the model of team-management performance evaluation and the method of the proper measurement based on BSC.