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Discovering geographical topics in the twitter stream

Liangjie Hong, Amr Ahmed, Siva Gurumurthy, Alexander J. Smola, Kostas Tsioutsiouliklis
2012 Proceedings of the 21st international conference on World Wide Web - WWW '12  
In this paper we focus on Twitter and present an algorithm by modeling diversity in tweets based on topical diversity, geographical diversity, and an interest distribution of the user.  ...  It is a challenge task to discover topics and identify users' interests from these geo-tagged messages due to the sheer amount of data and diversity of language variations used on these location sharing  ...  In addition, we thank Twitter to provide the dataset and the permission for publication of this work. We also appreciate the reviews from anonymous reviewers.  ... 
doi:10.1145/2187836.2187940 dblp:conf/www/HongAGST12 fatcat:o6mjbif4bbcnrgwbbdq4hspu2m

Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose [article]

Fred Morstatter and Jürgen Pfeffer and Huan Liu and Kathleen M. Carley
2013 arXiv   pre-print
In the scientific community, the microblogging site is known for openness in sharing its data.  ...  The essential drawback of the Twitter API is the lack of documentation concerning what and how much data users get.  ...  We thank Lei Tang for thoughtful advice and discussion throughout the development of this work.  ... 
arXiv:1306.5204v1 fatcat:nhhcj4or5jfbnhvqukja5toike

Social interactions over geographic-aware multimedia systems

Roger Zimmermann, Yi Yu
2013 Proceedings of the 21st ACM international conference on Multimedia - MM '13  
User-centric Internet multimedia scenes challenge us to discover more interesting events and topics based on matching users' needs associated with personal preferences, geographic interests and social  ...  Geotagged multimedia contents from online social sites, e.g., Flickr and Twitter, provide large volumes of data about many given locations.  ...  Acknowledgments The work presented was in part supported by the Singapore National Research Foundation under its International Research Centre @ Singapore Funding Initiative and administered by the IDM  ... 
doi:10.1145/2502081.2502236 dblp:conf/mm/ZimmermannY13 fatcat:2df6ljo65rgwnaxbd65b56bgaa

Dynamic multi-faceted topic discovery in twitter

Jan Vosecky, Di Jiang, Kenneth Wai-Ting Leung, Wilfred Ng
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
In this paper, we therefore propose a method for mining multifaceted topics from Twitter streams.  ...  Discovering high-level topics from social streams is therefore important for many downstream applications.  ...  Topic models are used in [18] to compare topics in Twitter and in news articles. In [16] , a topic modeling approach is used to discover geographic user interests.  ... 
doi:10.1145/2505515.2505593 dblp:conf/cikm/VoseckyJLN13 fatcat:5orugzwk55ekpc2lscshitzgdm

TwitterMonitor

Michael Mathioudakis, Nick Koudas
2010 Proceedings of the 2010 international conference on Management of data - SIGMOD '10  
We present TwitterMonitor, a system that performs trend detection over the Twitter stream. The system identifies emerging topics (i.e.  ...  'trends') on Twitter in real time and provides meaningful analytics that synthesize an accurate description of each topic.  ...  Back-End The StreamListener module receives a nearlyuniform sample of the Twitter stream, via the Twitter API 2 .  ... 
doi:10.1145/1807167.1807306 dblp:conf/sigmod/MathioudakisK10 fatcat:iogkw4ezmbbsnc44a5fgdmkwn4

Building a Data Warehouse for Twitter Stream Exploration

N. U. Rehman, S. Mansmann, A. Weiler, M. H. Scholl
2012 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining  
In the recent year Twitter has evolved into an extremely popular social network and has revolutionized the ways of interacting and exchanging information on the Internet.  ...  In this work we describe the process of transforming the original stream into a set of related multidimensional cubes and demonstrate how the resulting data warehouse can be used for solving a variety  ...  Michelson and Macskassy [12] discover main topics of interest of Twitter users from the entities mentioned in their tweets. Hecht et al.  ... 
doi:10.1109/asonam.2012.230 dblp:conf/asunam/RehmanMWS12 fatcat:3phon3joinbjjdpdeev5i5l6ne

Discovering Novel Emergency Events in Text Streams

Artem Shelmanov, Dmitriy Deviatkin, Daniil Larionov
2018 International Conference on Data Analytics and Management in Data Intensive Domains  
The components of the framework are experimentally evaluated on Twitter and Facebook data.  ...  For discovering novel events and matching them across different sources, we propose a multimodal topic model enriched with spatial information and a method based on Jensen-Shannon divergence.  ...  The project is supported by the Russian Foundation for Basic Research, project numbers: 15-29-06082, 15-29-06045 "ofi_m".  ... 
dblp:conf/rcdl/ShelmanovDL18 fatcat:3p27snl5j5hejj2swm6zq5uxxu

Location-Based Events Detection on Micro-Blogs [article]

Augusto Dias Pereira dos Santos, Leandro Krug Wives, Luis Otavio Alvares
2012 arXiv   pre-print
The outliers are used to identify topics within an abnormal behavior in Twitter.  ...  In this paper, we propose a new method to analyze the massive volume of messages available in Twitter to identify places in the world where topics such as TV shows, climate change, disasters, and sports  ...  Using Twitter in mobile devices makes it possible to embed geographical information in the tweets.  ... 
arXiv:1210.4008v1 fatcat:g2advogowbbn5jwpk4adi6a43a

Discovering Dynamic Classification Hierarchies in OLAP Dimensions [chapter]

Nafees Ur Rehman, Svetlana Mansmann, Andreas Weiler, Marc H. Scholl
2012 Lecture Notes in Computer Science  
We demonstrate the benefits of our approach by building a data warehouse for the public stream of the popular social network and microblogging service Twitter.  ...  Discovered elements are dynamic by nature and evolve along with the underlying data set.  ...  Michelson and Macskassy [15] discover main topics of interest of Twitter users from the entities mentioned in their tweets. Hecht et al.  ... 
doi:10.1007/978-3-642-34624-8_48 fatcat:lmynmjnewbev7krdfpeadz4rry

Extracting Actionable Knowledge from Domestic Violence Discourses on Social Media [article]

Sudha Subramani, Manjula O'Connor
2018 arXiv   pre-print
Hence, this paper will propose a novel framework to model and discover the various themes related to DV from the public domain.  ...  Recently, the victims of DV turned to social media platforms to express their feelings in the form of posts and seek the social and emotional support, for sympathetic encouragement, to show compassion  ...  [56] in the paper "How Humans Interpret Topic Models to evaluate the quality of the discovered topics".  ... 
arXiv:1807.02391v1 fatcat:sg7uaofqdzddjd3derap23lyie

Extracting Actionable Knowledge from Domestic Violence Discourses on Social Media

Sudha Subramani, Manjula O'Connor
2018 EAI Endorsed Transactions on Scalable Information Systems  
Hence, this paper will propose a novel framework to model and discover the various themes related to DV from the public domain.  ...  Thus provides actionable knowledge by monitoring and analysing continuous and rich user generated content. disclose their sufferings, and there is a need to collect data in a private space and in the absence  ...  [56] in the paper "How Humans Interpret Topic Models to evaluate the quality of the discovered topics".  ... 
doi:10.4108/eai.29-5-2018.154807 fatcat:kvgaqlzvxnc7xou4upc5tmrehq

Event-Radar: Real-time Local Event Detection System for Geo-Tagged Tweet Streams [article]

Sibo Zhang, Yuan Cheng, Deyuan Ke
2017 arXiv   pre-print
Nevertheless, how to effectively extract local events from large geo-tagged tweet streams in real time remains challenging.  ...  GeoBurst+ leverages a novel cross-modal authority measure to identify several pivots in the query window.  ...  Noticing that here "real time" means that events need to be discovered as early as possible after they start unravelling in the online social networking service stream.  ... 
arXiv:1708.05878v2 fatcat:xbbluu3sg5b2dhe4zlkbfsmbme

Real-Time Crisis Mapping Using Language Distribution

Justin Sampson, Fred Morstatter, Reza Zafarani, Huan Liu
2015 2015 IEEE International Conference on Data Mining Workshop (ICDMW)  
With the increase in GPS-enabled devices, social media sites, such as Twitter, are quickly becoming a prime outlet for timely geo-spatial data.  ...  Such data can be leveraged to aid in emergency response planning and recovery operations.  ...  In order to gather actionable and timely spatio-temporal data, we target the Twitter stream focusing solely on data with GPS device coordinates.  ... 
doi:10.1109/icdmw.2015.147 dblp:conf/icdm/SampsonMZL15 fatcat:lagtw7dbgjbfxp3ap5wbqajd2e

When is it Biased? Assessing the Representativeness of Twitter's Streaming API [article]

Fred Morstatter, Jürgen Pfeffer, Huan Liu
2014 arXiv   pre-print
Namely, we focus on finding time periods in the Streaming API data where the trend of a hashtag is significantly different from its trend in the true activity on Twitter.  ...  Twitter shares a free 1% sample of its tweets through the "Streaming API", a service that returns a sample of tweets according to a set of parameters set by the researcher.  ...  The authors discover that the topics extracted through LDA are significantly different than those extracted from the gold standard Firehose data.  ... 
arXiv:1401.7909v1 fatcat:r6i3v37lb5f4vcib4syb3yi3vu

Social Media Data Schemas for Crowdsourced Topics Observational Analytics [article]

Ilias Dimitriadis, Vasileios G. Psomiadis, Athena Vakali
2020 Zenodo  
This model is then exploited under a crowdsourced topics observatory that involves interactive visualization modules and advanced topic modelling methods.  ...  Crowdsourcing offers an invaluable toolkit for obtaining dynamic trends and insights from social media data analytics, enabling the capture of the wisdom of the crowds.  ...  The proposed social media knowledge observatory enables streaming data collection from Twitter and other social media and thus, the data schema proposed temporarily stores streaming data posts in accordance  ... 
doi:10.5281/zenodo.5675463 fatcat:5nmipdsweff3fezluj5keivyba
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