Analysis of internal social media for in-house job training aimed at improving the efficiency of human-resource development

Most Japanese companies have their own in-house training systems. However, only a few companies have systems to fully verify the training effectiveness. Furthermore, an increasing number of companies are using social media for both internal communications and in-house training discussions. Therefore, by analyzing this accumulated data in social media, it is possible to verify the effects of in-house training and career education. This research is a joint study with a company that develops internal social-media system for in-house training. We analyze the accumulated data in a practical system by using natural language processing. This research aims to visualize both training proposals tailored to each individual and the characteristics of each trainee from the analysis results. It also aims to improve the effectiveness and the efficiency of in-house training systems.