Discovery of Implicit Feature Words of Place Name

Abstract

Individual opinions and experiences are published in Web as CGM (consumer generated media). A tourism blog which a tourist wrote his experience and impression in a certain area is very helpful information for other tourists. However, a user cannot obtain such precious information without knowing the relation of blog articles and concrete place-names. We paid our attention to the hierarchical structure of place-names. In this paper, we propose the method of connecting related words to the place-name which does not appear explicitly in a blog article paying attention to the hierarchical structure of placenames. From from 45,553 blog articles about the Karatsu area in Saga Prefecture, the potential related words about 78 place-names of Saga Prefecture which have not appeared in the blogs were extracted. 4 subjects evaluated that meaningful related words are obtained in 80% or more of the place-names. However, the direct relationships between the place-name and related words was not able to be guessed easily.

Spatiotemporal Keyword Query Suggestion Based On Document Proximity and K-Means Method– A Review

“…Sachio Hirokawa et al [26] proposed a system for getting the place names from a blog or a web document. The consumer-generated media as published on the web quotes their individual opinions and experiences.…”