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Saturday, October 28 • 2:23pm - 2:45pm
Organizing Big Data for Text in Rakuten

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Rakuten has a various kinds of text data such as query keywords, product descriptions, and reviews from our users. The data is collected in our servers continuously and the size grows by the hour. However, we need to convert these massive unstructured data into structured data in order to take advantage of big data for text in our businesses. In this presentation, we will talk about methodologies to automatically organize unstructured data using natural language processing techniques so that we can help Rakuten's business.

avatar for Keiji Shinzato

Keiji Shinzato

Lead scientist, Rakuten Inc.
Keiji Shinzato is a lead scientist of Rakuten Institute of Technology (RIT). Before joining Rakuten, he worked at Kyoto University as a post-doctoral researcher. His research interest is natural language processing: especially knowledge acquisition, information extraction, sentiment... Read More →

Saturday October 28, 2017 2:23pm - 2:45pm JST
4F Rakuten A