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Processing social media in real-time

Damiano Spina, Arkaitz Zubiaga, Amit Sheth, Markus Strohmaier
<span title="">2018</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v5dch4enzne6phusiwdh25za24" style="color: black;">Information Processing &amp; Management</a> </i> &nbsp;
when applied to an unseen test set. 75 Hasan et al. [8] address the efficiency problem of detecting newsworthy 76 events in real-time from social media streams such as Twitter.  ...  The proposed 77 end-to-end event detection framework TwitterNews+ outperforms the com-78 pared state-of-the-art approaches in terms of effectiveness, while maintains 79 real-time processing capabilities  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2018.06.006">doi:10.1016/j.ipm.2018.06.006</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/acdygrq3fvce7icreuczjp2gnm">fatcat:acdygrq3fvce7icreuczjp2gnm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200310052240/https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/56410/Zubiaga%20Processing%20social%20media%202018%20Accepted.pdf;jsessionid=6DC0352F193A2C2D4FB3ACD54530F241?sequence=2" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4e/f0/4ef0fdf8ad1a92381fe922e32adf0722fcc7a817.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2018.06.006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Real-time Alert Framework for Fire Incidents Using Multimodal Event Detection on Social Media Streams

Thomas Papadimos, Nick Pantelidis, Stelios Andreadis, Aristeidis Bozas, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris
<span title="2022-05-22">2022</span> <i title="Zenodo"> Zenodo </i> &nbsp;
In this paper, we present an alert framework for the real-time detection of fire events and we propose a novel multimodal event detection model, which fuses both probabilistic and graph methodologies and  ...  Nevertheless, the detection of real-world fire incidents using social media data, while filtering out the unavoidable noise, remains a challenging task.  ...  A more recent study, (Hasan et al. 2019 ), proposed another real-time event detection system from the Twitter data stream called TwitterNews+ Framework.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6414021">doi:10.5281/zenodo.6414021</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/45kr3bptpfdl5csb7fc53bxsmy">fatcat:45kr3bptpfdl5csb7fc53bxsmy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220504105739/https://zenodo.org/record/6414022/files/Papadimos_et_al_Real-time_Alert_Framework_for_Fire_Incidents.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/42/7742308a0f3f4c9413a0b6e5cabe89b0938da048.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6414021"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

An Approximate Model for Event Detection from Twitter Data

Aarzoo Dhiman, Durga Toshniwal
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
The abundance and real-time availability of Twitter data have proved beneficial in detecting events in various domains such as emergency situations, crime detection, public health, place recommendations  ...  Furthermore, the framework uses the weighted-graph model to capture all the relationships among the Twitter data efficiently.  ...  There are many real-time event detection based applications that use Twitter data such as disaster control [2] , controversy tracking [3] , health event tracking [4] , detecting misleading events [  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3007004">doi:10.1109/access.2020.3007004</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wcszgxqurrbe7lt6osgisqtl2q">fatcat:wcszgxqurrbe7lt6osgisqtl2q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429130245/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09133064.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/65/e1/65e1aa9d7312379fb5f230b35e0c6fdc3b72014b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3007004"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

SEDTWik: Segmentation-based Event Detection from Tweets Using Wikipedia

Keval Morabia, Lalita Bhanu Murthy Neti, Aruna Malapati, Surender Singh Samant
<span title="">2019</span> <i > <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/d5ex6ucxtrfz3clshlkh3f6w2q" style="color: black;">North American Chapter of the Association for Computational Linguistics</a> </i> &nbsp;
Twitter has become a major source for information about real-world events because of the use of hashtags and the small word limit of Twitter that ensures concise presentation of events.  ...  Event Detection has been one of the research areas in Text Mining that has attracted attention during this decade due to the widespread availability of social media data specifically twitter data.  ...  Aixin Sun, Associate Professor at Nanyang Technological University (NTU), Singapore for providing the Wikipedia keyphraseness values Q(s) that was used in calculating segment newsworthiness in subsection  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/n19-3011">doi:10.18653/v1/n19-3011</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/naacl/MorabiaNMS19.html">dblp:conf/naacl/MorabiaNMS19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/alrj3djrfjdaxh5tf23yjvxunu">fatcat:alrj3djrfjdaxh5tf23yjvxunu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190731120358/https://www.aclweb.org/anthology/N19-3011" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d1/cd/d1cd41566690a42495fa32ce3bac60c98633e3c3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/n19-3011"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

ComStreamClust: a communicative multi-agent approach to text clustering in streaming data [article]

Ali Najafi, Araz Gholipour-Shilabin, Rahim Dehkharghani, Ali Mohammadpur-Fard, Meysam Asgari-Chenaghlu
<span title="2021-04-27">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The proposed approach is parallelizable, and can simultaneously handle several data-point. The LaBSE sentence embedding is used to measure the semantic similarity between two tweets.  ...  Topic detection is the task of determining and tracking hot topics in social media. Twitter is arguably the most popular platform for people to share their ideas with others about different issues.  ...  Computational cost is one of the major challenges in the real-time topic or event detection on Twitter. Hasan et. al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.05349v2">arXiv:2010.05349v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5e2zunydjbetjkyp3kkz5ex2ya">fatcat:5e2zunydjbetjkyp3kkz5ex2ya</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201019081040/https://arxiv.org/pdf/2010.05349v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.05349v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications

Daniel Costa, Cristian Duran-Faundez, Daniel Andrade, João Rocha-Junior, João Peixoto
<span title="2018-04-03">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
This article proposes an integrated approach to detect and classify events of interest posted in social media, notably in Twitter, and the assignment of sensing priorities to source nodes.  ...  By doing so, wireless sensor networks deployed in Smart City scenarios can be optimized for higher efficiency when monitoring areas under the influence of the detected events.  ...  The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s18041080">doi:10.3390/s18041080</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29614060">pmid:29614060</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5948541/">pmcid:PMC5948541</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hhruq4nbjrd7dc6ra2yi6jksxy">fatcat:hhruq4nbjrd7dc6ra2yi6jksxy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190222011323/http://pdfs.semanticscholar.org/36c7/df62f84fb565e20c81da1a7d4d4522a3822c.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/36/c7/36c7df62f84fb565e20c81da1a7d4d4522a3822c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s18041080"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948541" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies [article]

Pok Wah Chan
<span title="2022-03-11">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
with authenticated knowledge from social media platforms in real-time.  ...  The workflow starts with identifying anomalous asset price changes using machine learning models trained with historical pricing data, and retrieving correlated unstructured data from Twitter using enhanced  ...  Detection (FSD) by allocating documents from a live stream of data into the closest event, known as online event detection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.08144v1">arXiv:2203.08144v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rusadj2rgrbplekl3bbpunbdwm">fatcat:rusadj2rgrbplekl3bbpunbdwm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220520081646/https://arxiv.org/pdf/2203.08144v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/19/7b/197bea3a704d8a372dd46e1e1f5c6bff420d601f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.08144v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

AI-Crime Hunter: An AI Mixture of Experts for Crime Discovery on Twitter

Niloufar Shoeibi, Nastaran Shoeibi, Guillermo Hernández, Pablo Chamoso, Juan M. Corchado
<span title="2021-12-10">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ikdpfme5h5egvnwtvvtjrnntyy" style="color: black;">Electronics</a> </i> &nbsp;
This research aims to present a platform that monitors the public content on Twitter by extracting tweet data.  ...  After maintaining the data, the users' interactions are analyzed using graph analysis methods.  ...  : CCTT3/20/SA/0001, financed by the Institute for Business Competitiveness of Castilla y León, and the European Regional Development Fund (FEDER).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/electronics10243081">doi:10.3390/electronics10243081</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jfdzljrwyncphijwyd5ipbuhqi">fatcat:jfdzljrwyncphijwyd5ipbuhqi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220504222221/https://mdpi-res.com/d_attachment/electronics/electronics-10-03081/article_deploy/electronics-10-03081.pdf?version=1639132939" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3e/1a/3e1a91ee900483aa64f0bb0b4a152418bbd53ca9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/electronics10243081"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Social Media Behavior and Emotional Evolution during Emergency Events

Mingyun Gu, Haixiang Guo, Jun Zhuang
<span title="2021-08-27">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7happfjl2zh5fbym2owb7p7kni" style="color: black;">Healthcare</a> </i> &nbsp;
It can conclude that: (i) There were some social media rules being adhered to and that new focused news from the same event impacted user behavior and the popularity of previous thematic discussions.  ...  By examining the event timelines and the associated hashtags on the popular Chinese social media site Sina-Weibo, the 2019 Wuxi viaduct collapse accident was taken as the research object and the event  ...  + to detect major and minor newsworthy events in real time [26] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/healthcare9091109">doi:10.3390/healthcare9091109</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34574883">pmid:34574883</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8469477/">pmcid:PMC8469477</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/neb3jw6bezeh3mnfpgvmbor7b4">fatcat:neb3jw6bezeh3mnfpgvmbor7b4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210929161544/https://mdpi-res.com/d_attachment/healthcare/healthcare-09-01109/article_deploy/healthcare-09-01109.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/62/cc/62cc1406fe6d6fb436f3bd875680c99c63c68e70.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/healthcare9091109"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469477" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Detecting local events using multiple social networking services and geographical clustering

Maximilian Schirmer, Hannes Werthner, Julia Neidhardt
<span title="">2020</span>
To allow for detecting local events affecting rather small areas (i.e. street level, points of interests etc.), precise location information must be extracted from the message content.  ...  By using geographical clustering in combination with machine learning approaches, even local events can be detected shortly after their announcement on one (or multiple) social media services.  ...  for the detection of local events in near real-time.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.34726/hss.2020.51945">doi:10.34726/hss.2020.51945</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gdnzlfmgt5clpglpk335gc7wgq">fatcat:gdnzlfmgt5clpglpk335gc7wgq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220106103101/https://repositum.tuwien.at/bitstream/20.500.12708/1063/2/Schirmer%20Maximilian%20-%202020%20-%20Detecting%20local%20events%20using%20multiple%20social...pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/78/32/7832e632f349779f1742cb412ca07f74b4fd46ec.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.34726/hss.2020.51945"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>