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[Case Study of Utilizing Emotional AI Analytics] "Keio Corporation" Introduction of New Train Models

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[Case Study of Utilizing Emotional AI Analytics] "Keio Corporation" Introduction of New Train Models

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Examples of using "text mining" for survey analysis and word extraction!

We would like to introduce a case study utilizing "sensitivity AI analytics" for the new 2000 series train of Keio Corporation. In the concept development phase, we utilized "text mining" for survey analysis and word extraction. From multiple proposals by designers, we analyzed consumer perceptions using "image impression analysis" to determine the final design that matches the concept. [Case Overview] ■ Target: Keio Corporation New 2000 Series Train ■ Utilized Functions: Text Mining, Image Impression Analysis *For more details, please download the PDF or feel free to contact us.

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Our company was established on May 25, 2018, through joint investment by Keio Corporation and Professor Maki Sakamoto of the National University Corporation, University of Electro-Communications. We are a company that can commercially utilize the intellectual property from the Sakamoto Laboratory at the University of Electro-Communications, which has been certified as a venture originating from the university. By creating AI that understands the hidden senses within people and supports their expression, we aim to become a platform for the utilization of sensitivity.

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