
WORD EMBEDDING BASED PLACE THEME ANALYSIS IN USER-GENERATED DATA
(STEF92 Technology, 2018-06-20, Young-Min Lee)
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We propose a theme analysis method that takes into consideration the perspectives of both a supplier (place) and a consumer (user) in unstructured place reviews written by users. To this end, ambiance on the place side and companion and time on the user side were considered as the theme elements. For the experiment, we used the review text data written in English provided by Yelp, and we selected coffee-related places (e.g., coffee shop, coffee house, etc.) from various place categories. From among them, we chose ...

