Location-based event search in social texts

A tremendous amount of information is being shared everyday on social media sites such as Facebook, Twitter, or Google+. Often times these social media texts include information that are valuable to others, such as activities (e.g., art fairs, jazz festivals, and gatherings), natural disaster occurrences (e.g., tornadoes, earthquakes), or incidents (e.g., traffic jams). However, current search on social media data is mostly keyword or hashtag based. The keyword based search method does not allow efficient search of events. In order to detect, scan, and search location based events from social media, users and social texts need to be effectively geotagged. Based on geotagged users and texts, effective and efficient algorithms need to be developed to integrate key word and spatial search to allow event query. This position paper summarize the current work, challenges, and research needs in location-event search in social texts.

[1]  Bu-Sung Lee,et al.  Event Detection in Twitter , 2011, ICWSM.

[2]  Ron Sivan,et al.  Web-a-where: geotagging web content , 2004, SIGIR '04.

[3]  Kazufumi Watanabe,et al.  Jasmine: a real-time local-event detection system based on geolocation information propagated to microblogs , 2011, CIKM '11.

[4]  Henry A. Kautz,et al.  Finding your friends and following them to where you are , 2012, WSDM '12.

[5]  David Jurgens,et al.  That's What Friends Are For: Inferring Location in Online Social Media Platforms Based on Social Relationships , 2013, ICWSM.

[6]  Hanan Samet,et al.  TwitterStand: news in tweets , 2009, GIS.

[7]  Hila Becker,et al.  Beyond Trending Topics: Real-World Event Identification on Twitter , 2011, ICWSM.

[8]  Fahad Bin Muhaya,et al.  Estimating Twitter User Location Using Social Interactions--A Content Based Approach , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

[9]  Kyumin Lee,et al.  You are where you tweet: a content-based approach to geo-locating twitter users , 2010, CIKM.

[10]  Peng Zhang,et al.  Identifying Information Spreaders in Twitter Follower Networks , 2012 .

[11]  M. Newman,et al.  Vertex similarity in networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[12]  Gisele L. Pappa,et al.  Inferring the Location of Twitter Messages Based on User Relationships , 2011, Trans. GIS.

[13]  Hanan Samet,et al.  Geotagging with local lexicons to build indexes for textually-specified spatial data , 2010, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010).

[14]  Gregory R. Crane,et al.  Disambiguating Geographic Names in a Historical Digital Library , 2001, ECDL.

[15]  Rui Wang,et al.  Towards social user profiling: unified and discriminative influence model for inferring home locations , 2012, KDD.

[16]  Lars Backstrom,et al.  Find me if you can: improving geographical prediction with social and spatial proximity , 2010, WWW '10.

[17]  Yutaka Matsuo,et al.  Earthquake shakes Twitter users: real-time event detection by social sensors , 2010, WWW '10.

[18]  Christopher D. Manning,et al.  An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition , 2006, ACL.

[19]  Deepayan Chakrabarti,et al.  Event Summarization Using Tweets , 2011, ICWSM.

[20]  Ming Zhou,et al.  Recognizing Named Entities in Tweets , 2011, ACL.

[21]  Prasenjit Mitra,et al.  Temporal and Information Flow Based Event Detection from Social Text Streams , 2007, AAAI.

[22]  Jeffrey Nichols,et al.  Home Location Identification of Twitter Users , 2014, TIST.

[23]  Oren Etzioni,et al.  Named Entity Recognition in Tweets: An Experimental Study , 2011, EMNLP.

[24]  Zhengyuan Zhu,et al.  Spatial scan statistics: approximations and performance study , 2006, KDD '06.

[25]  Gerard Salton,et al.  Research and Development in Information Retrieval , 1982, Lecture Notes in Computer Science.

[26]  Jure Leskovec,et al.  Friendship and mobility: user movement in location-based social networks , 2011, KDD.

[27]  Cecilia Mascolo,et al.  Distance Matters: Geo-social Metrics for Online Social Networks , 2010, WOSN.

[28]  Cheng Niu,et al.  Location Normalization for Information Extraction , 2002, COLING.