This paper presents a novel method for user profiling in social media that makes use of geo-location information associated with social media posts to avoid the need for selfreported data. These posts are combined with two publicly available sources of demographic information to automatically create data sets in which posts are labelled with socio-economic status. The data sets are linked by id...

∗ This research has been supported, in part, by grants from NTT DoCoMo, Inc., NJCWT (the New Jersey Center for Wireless Telecommunications), Panasonic Technologies, Inc., and Project 69931040 supported by NSFC. Abstract We have investigated the indoor geolocation based on signal strength modeling. Linear, compensated linear, and multiple regression methods have been applied to set up signal str...