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Do people communicate about their whereabouts? Investigating the relation between user-generated text messages and Foursquare check-in places

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Geo-Spatial Information Science 2018年第3期21卷 159-172页

作者： Ming Li Rene Westerholt Alexander Zipf Institute of Geography Heidelberg UniversityHeidelbergGermany

The social functionality of places(***,restaurant)partly determines human behaviors and reflects a region’s functional *** descriptions of places are thus valuable to a range of studies of humans and geographic *** their potential impacts on human verbalization behaviors,one possibility is to link the functions of places to verbal representations such as users’postings in location-based social networks(LBSNs).In this study,we examine whether the heterogeneous user-generated text snippets found in LBSNs reliably reflect the semantic concepts attached with check-in *** investigate Foursquare because its available categorization hierarchy provides rich a-priori semantic knowledge about its check-in places,which enables a reliable verification of the semantic concepts identified fromuser-generated text snippets.A latent semantic analysis is conducted on a large Foursquare check-in *** results confirm that attached text messages can represent semantic concepts by demonstrating their large correspondence to the official Foursquare venue *** further elaborate the representativeness of text messages,this work also performs an investigation on the textual terms to quantify their abilities of representing semantic concepts(i.e.,representativeness),and another investigation on semantic concepts to quantify how well they can be represented by text messages(i.e.,representability).The results shed light on featured terms with strong locational characteristics,as well as on distinctive semantic concepts with potentially strong impacts on human verbalizations.

关键词： Text mining latent semantic analysis semantic concepts Foursquare location-based social network(LBSN)

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A fuzzy descriptor for analyzing the differences of facial expression

A fuzzy descriptor for analyzing the differences of facial e...

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第30届中国控制与决策会议

作者： Xiaodong Duan Zedong Li Yu Shi Jinmiao Song Tao Sun Xiaodong Zhang Dalian Key Lab of Digital Technology for National Culture Dalian Minzu University College of Computer Science and Engineering Dalian Minzu University College of Science Northeastern University

This paper proposes an improved fuzzy semantic model（IFSM） to analyze the differences of facial *** with traditional *** method has two advantages:（i） The proposed method breaks the image limit such as scale,illumination;（ii） According to fuzzy rules,the method can interpret expression features using semantic ***,the FEI and CK+ datasets are applied in analyzing the differences among various *** last,in order to compare the performance,the state-of-the-art methods have been *** results illustrate our method has a better accuracy,but also can interpret expression features well.

关键词： Fuzzy descriptor Facial expressions Fuzzy rules semantic concepts

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