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.
