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Stream Clustering and Visualization of Geotagged Text Data for Crisis Management

Nathaniel C. Crossman, Soon M. Chung, Vincent A. Schmidt
2019 2019 International Conference on Data and Software Engineering (ICoDSE)  
The online micro-clustering phase incrementally creates micro-clusters, called text droplets, that represent enough information about topics occurring in the text stream.  ...  Stream Clustering and Visualization of Geotagged Text Data for Crisis Management. In the last decade, the advent of social media and microblogging services have inevitably changed our world.  ...  Their system could perform well at detecting topic changes in the sequence of text messages.  ... 
doi:10.1109/icodse48700.2019.9092760 fatcat:5fikvo5iufffvpnse2xoqaioty

Introduction to the Special Issue on Language in Social Media: Exploiting Discourse and Other Contextual Information

Farah Benamara, Diana Inkpen, Maite Taboada
2018 Computational Linguistics  
We conclude with an overview of the papers accepted in this special issue, highlighting what we believe are the future directions in processing social media texts.  ...  Most social media texts are short online conversational posts or comments that do not contain enough information for natural language processing (NLP) tools, as they are often accompanied by non-linguistic  ...  based on the content of the posted messages.  ... 
doi:10.1162/coli_a_00333 fatcat:mbpjsq3ltfdtnfbmldxlt7wzci

#FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media

Jian Zhao, Nan Cao, Zhen Wen, Yale Song, Yu-Ru Lin, Christopher Collins
2014 IEEE Transactions on Visualization and Computer Graphics  
FluxFlow incorporates advanced machine learning algorithms to detect anomalies, and offers a set of novel visualization designs for presenting the detected threads for deeper analysis.  ...  The last one expresses a plateau of 3 hours with the hidden state staying in mainly "pink", state that frequently appears in abnormal threads (see Section 6).  ...  The first challenging question is: which particular message streams are worth looking into?  ... 
doi:10.1109/tvcg.2014.2346922 pmid:26356891 fatcat:the6agglhrfezlbjayl6no2t7y

Nomadic radio: speech and audio interaction for contextual messaging in nomadic environments

Nitin Sawhney, Chris Schmandt
2000 ACM Transactions on Computer-Human Interaction  
This article discusses the interaction techniques developed for Nomadic Radio, a wearable computing platform for managing voice and text-based messages in a nomadic environment.  ...  Notification is adaptive and context sensitive; messages are presented as more or less obtrusive based on importance inferred from content filtering, whether the user is engaged in conversation and his  ...  The scanning algorithm interlaces audio streams in parallel by running each one in its own thread.  ... 
doi:10.1145/355324.355327 fatcat:spxnnytgjzb5df3dkpmdsikcqy

Online Social Networks Event Detection: A Survey [chapter]

Mário Cordeiro, João Gama
2016 Lecture Notes in Computer Science  
The continuous interactions between online social network participants generate streams of unbounded text content and evolutionary network structures within the social streams that make classical text  ...  Performing event detection on online social networks is no exception, state-of-the-art algorithms rely on text mining techniques applied to pre-known datasets that are being processed with no restrictions  ...  [98] proposed the EDCoW, an event detection algorithm that clusters wavelet-based signals built from the analysis of the text stream in Twitter.  ... 
doi:10.1007/978-3-319-41706-6_1 fatcat:zdoso55jzjbypkye7w3uozcjce

Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks [article]

Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He
2021 arXiv   pre-print
Comprehensive experiments on real-world streaming social text data are conducted to compare various social event detection and evolution discovery algorithms.  ...  Third, we propose a streaming social event detection and evolution discovery framework for HINs based on meta-path similarity search, historical information about meta-paths, and heterogeneous DBSCAN clustering  ...  We first build the event-based HIN, and we use one server with 64 processors and 1000 multi-threads to process social message texts.  ... 
arXiv:2104.00853v1 fatcat:3h6t6zbowradliw3hek6hw4coi

Aggressive, Repetitive, Intentional, Visible, and Imbalanced: Refining Representations for Cyberbullying Classification [article]

Caleb Ziems, Ymir Vigfusson, Fred Morstatter
2020 arXiv   pre-print
To identify cyberbullying cases in large-scale social networks, content moderators depend on machine learning classifiers for automatic cyberbullying detection.  ...  We model this behavior using social network and language-based features, which improve classifier performance.  ...  Acknowledgements This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Agreement No.  ... 
arXiv:2004.01820v1 fatcat:y2zta4nzs5fjtlyfz4wl6t2ugq

A Survey of Techniques for Event Detection in Twitter

Farzindar Atefeh, Wael Khreich
2013 Computational intelligence  
In contrast to conventional media, event detection from Twitter streams poses new challenges.  ...  In addition, traditional text mining techniques are not suitable, because of the short length of tweets, the large number of spelling and grammatical errors, and the frequent use of informal and mixed  ...  Twitter's core function allows users to post and read short messages.  ... 
doi:10.1111/coin.12017 fatcat:wr3wcvxmavbarityeu2szfcuw4

Process-Driven and Flow-Based Processing of Industrial Sensor Data

Klaus Kammerer, Rüdiger Pryss, Burkhard Hoppenstedt, Kevin Sommer, Manfred Reichert
2020 Sensors  
based on a processing chain.  ...  Based on the example of a machine manufacturing company, the SPP approach is presented in this work. For the company involved, the approach has revealed promising results.  ...  ., being able to detect complex patterns in divergent event streams. CEP systems are based on the message-oriented interaction paradigm "publish-subscribe."  ... 
doi:10.3390/s20185245 pmid:32937993 fatcat:okrztrhusfcwvcwasclx7ruxca

Semantics + filtering + search = twitcident. exploring information in social web streams

Fabian Abel, Claudia Hauff, Geert-Jan Houben, Richard Stronkman, Ke Tao
2012 Proceedings of the 23rd ACM conference on Hypertext and social media - HT '12  
It enriches the semantics of streamed messages to profile incidents and to continuously improve and adapt the information filtering to the current temporal context.  ...  In this paper, we engineer and evaluate solutions that analyze the semantics of Social Web data streams to solve these challenges.  ...  News-based contextualization also leads to major improvements in comparison to the keyword-based baseline.  ... 
doi:10.1145/2309996.2310043 dblp:conf/ht/AbelHHST12 fatcat:kukgxwqqynd4bgwopgpr6zi4gy

Incident threading for news passages

Ao Feng, James Allan
2009 Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09  
All text that describes the occurrence of a real-world happening is merged into a news incident, and incidents are organized in a network with dependencies of predefined types.  ...  We explore incident threading as a possible solution to this problem.  ...  Currently the main challenge still lies in the proper representation of a short text snippet.  ... 
doi:10.1145/1645953.1646118 dblp:conf/cikm/FengA09 fatcat:kfultzg2zjgpreqh6z3zbpajo4

Technical Features of Asynchronous and Synchronous Community Platforms and their Effects on Community Cohesion: A Comparative Study of Forum-based and Chat-based Online Mental Health Communities

Han Li, Robert E Kraut, Haiyi Zhu
2021 Journal of Computer-Mediated Communication  
Chat-based platforms facilitated faster communication and greater evenness of receiving messages among participants which in turn fostered community cohesion.  ...  This study collected four weeks of data from 20 forum-based and 20 chat-based mental health communities in mainland China.  ...  To extract coherent topic-based conversations from message streams and to detect the implicit ªreply-toº relations in the messages, we recruited and trained four Chinese students from a research-based  ... 
doi:10.1093/jcmc/zmab016 fatcat:6pdl7lwtyzbcrglrp4mlpxyoyu

Event Monitoring and Intelligence Gathering Using Twitter Based Real-Time Event Summarization and Pre-Trained Model Techniques

Chung-Hong Lee, Hsin-Chang Yang, Yenming J. Chen, Yung-Lin Chuang
2021 Applied Sciences  
We used an online text-stream clustering algorithm and self-adaptive method developed to gather the Twitter data for detection of emerging events.  ...  Recently, an emerging application field through Twitter messages and algorithmic computation to detect real-time world events has become a new paradigm in the field of data science applications.  ...  Once the adaptive stream clustering algorithm is used to process stream messages in real time, the number and weight of features will be automatically adjusted within the thread time width tw.  ... 
doi:10.3390/app112210596 fatcat:ddx6eoqed5eyjfjudehakxgunu

LeadLine: Interactive visual analysis of text data through event identification and exploration

Wenwen Dou, Xiaoyu Wang, Drew Skau, William Ribarsky, Michelle X. Zhou
2012 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)  
Existing visual text analysis systems have provided temporal views of changes based on topical themes extracted from text data.  ...  Through representing large-scale text corpora in the form of meaningful events, LeadLine provides a concise summary of the * corpora.  ...  ACKNOWLEDGEMENTS This work was supported in part by a grant from the National Science Foundation under award number SBE-0915528.  ... 
doi:10.1109/vast.2012.6400485 dblp:conf/ieeevast/DouWSRZ12 fatcat:icluncbxo5fo5d4se4pawagseq

Making sense of social media streams through semantics: A survey

Kalina Bontcheva, Dominic Rout
2014 Semantic Web Journal  
Unlike carefully authored news text and longer web context, social media streams pose a number of new challenges, due to their large-scale, short, noisy, contextdependent, and dynamic nature.  ...  Traditional search methods are no longer able to address the more complex information seeking behaviour in media streams, which has evolved towards sense making, learning, investigation, and social search  ...  of Twitter and Facebook messages and for proof-reading the paper.  ... 
doi:10.3233/sw-130110 fatcat:uytdbegs3ngcbpu62i4trrxjni
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