Title :
Mining User Experience through Crowdsourcing: A Property Search Behavior Corpus Derived from Microblogging Timelines
Author :
Yoji Kiyota;Yasuyuki Nirei;Kosuke Shinoda;Satoshi Kurihara;Hirohiko Suwa
Author_Institution :
Littel Lab., NEXT Co., Ltd., Tokyo, Japan
Abstract :
This article describes how to build a property search behavior corpus derived from microblogging timelines, in which tweets related to property search are annotated. We applied microtask-based crowdsourcing to tweet data, and build a corpus which consists of timelines of specific users which are annotated with property search stages (e.g. gathering of property information, and property preview). As a result, property search processes by tens of people were annotated. This corpus is intended to use for redesigning property information services, and marketing information services for potential users.
Keywords :
"Crowdsourcing","Twitter","Companies","Electronic mail","Information services","Buildings"
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2015 IEEE / WIC / ACM International Conference on
DOI :
10.1109/WI-IAT.2015.137