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EvenTweet

Hamed Abdelhaq, Christian Sengstock, Michael Gertz
2013 Proceedings of the VLDB Endowment  
In this demonstration, we present a novel framework to detect localized events in real-time from a Twitter stream and to track the evolution of such events over time.  ...  However, exploiting the location information of georeferenced messages, too, is important to detect localized events, such as public events or emergency situations.  ...  In this demonstration, we present EvenTweet, a system to detect localized events from a stream of tweets in real-time.  ... 
doi:10.14778/2536274.2536307 fatcat:zwr6msq64zbgjbrmprkj6vrtgy

GeoBurst

Chao Zhang, Guangyu Zhou, Quan Yuan, Honglei Zhuang, Yu Zheng, Lance Kaplan, Shaowen Wang, Jiawei Han
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
We propose GEOBURST, a method that enables effective and real-time local event detection from geo-tagged tweet streams.  ...  That said, how to extract quality local events from geo-tagged tweet streams in real time remains largely unsolved so far.  ...  Different from those studies, we aim to detect all kinds of local events from the stream. Local Event Detection. Foley et al.  ... 
doi:10.1145/2911451.2911519 dblp:conf/sigir/ZhangZYZZKWH16 fatcat:uzuccddjwnb6hnph5fllgo47ri

Detecting Events in Online Social Networks: Definitions, Trends and Challenges [chapter]

Nikolaos Panagiotou, Ioannis Katakis, Dimitrios Gunopulos
2016 Lecture Notes in Computer Science  
The problem of event detection has been examined in multiple social media sources like Twitter, Flickr, YouTube and Facebook.  ...  In this article, we present a wide range of event detection algorithms, architectures and evaluation methodologies.  ...  [88] built the Jasmine system in order to detect local events in real time. They used the streaming Twitter API to collect tweets from Japan.  ... 
doi:10.1007/978-3-319-41706-6_2 fatcat:4neqe4dxlvczndld3d2xkqtyxu

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
2018 Sensors  
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.  ...  efficient detection and classification of events of interest may be hard to achieve.  ...  and local event detection approaches.  ... 
doi:10.3390/s18041080 pmid:29614060 pmcid:PMC5948541 fatcat:hhruq4nbjrd7dc6ra2yi6jksxy

A Small Survey On Event Detection Using Twitter [article]

Debanjan Datta
2022 arXiv   pre-print
A small survey on event detection using Twitter. This work first defines the problem statement, and then summarizes and collates the different research works towards solving the problem.  ...  Graph Based Models Two online event detection methods are proposed in [10] , where event detection is modelled as a graph-based clustering problem. The first model is aimed at local event detection.  ...  Events can also be categorized as global events such as online movements, or local events that have a spatial component.  ... 
arXiv:2011.05801v2 fatcat:gtrtxzgju5akzho3a2z4pq33gu

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

Sibo Zhang, Yuan Cheng, Deyuan Ke
2017 arXiv   pre-print
We mainly implement a website demonstration system Event-Radar with an improved algorithm to show the real-time local events online for public interests.  ...  A robust and efficient cloud-based real-time local event detection software system would benefit various aspects in the real-life society, from shopping recommendation for customer service providers to  ...  Online New Event Detection denotes to the task of classifying events from live streams of tweets in real-time.  ... 
arXiv:1708.05878v2 fatcat:xbbluu3sg5b2dhe4zlkbfsmbme

Detecting and Tracking Significant Events for Individuals on Twitter by Monitoring the Evolution of Twitter Followership Networks

Tao Tang, Guangmin Hu
2020 Information  
Event detection techniques help to extract events from massive amounts of Twitter data.  ...  People publish tweets on Twitter to share everything from global news to their daily life.  ...  [16] developed a system called EvenTweet to detect localized events in real-time from a Twitter stream. Gao et al.  ... 
doi:10.3390/info11090450 fatcat:y54iv6gzuvbbng7us3dnzk3fn4

What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter

Zafar Saeed, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Abida Sadaf, Imran Razzak, Ali Daud, Naif Radi Aljohani, Guandong Xu
2019 Journal of Grid Computing  
Twitter presents an interesting opportunity for detecting events happening around the world.  ...  It explores recent research trends and techniques for event detection using Twitter data.  ...  Abdelhaq et al. in their study focus on localized events and create a system called EvenTweet [2] .  ... 
doi:10.1007/s10723-019-09482-2 fatcat:lypwnpnmonb3laa3koftllchby

An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization

Deyu Zhou, Liangyu Chen, Yulan He
2015 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
However, since there is no control on how users can publish messages on Twitter, finding newsworthy events from Twitter becomes a difficult task like "finding a needle in a haystack".  ...  To filter out noisy tweets, the filtering step exploits a lexicon-based approach to separate tweets that are event-related from those that are not.  ...  Overseas Chinese Scholars, State Education Ministry, the Fundamental Research Funds for the Central Universities (the Cultivation Program for Young Faculties of Southeast University), and the start-up grant from  ... 
doi:10.1609/aaai.v29i1.9526 fatcat:lsnlmnxzq5alfd5cvfshjxszh4

Unsupervised event exploration from social text streams

Deyu Zhou, Liangyu Chen, Xuan Zhang, Yulan He
2017 Intelligent Data Analysis  
Extracting events from social media platforms such as Twitter could help in understanding what is being discussed.  ...  However, event extraction from social text streams poses huge challenges due to the noisy nature of social media posts and dynamic evolution of language.  ...  In [1] , EvenTweet, a system to detect localized events from a stream of tweets, was constructed.  ... 
doi:10.3233/ida-160048 fatcat:ewu36cyh5bgidk6jp7gjn4d7km

Topic Detection and Tracking Techniques on Twitter: A Systematic Review

Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, Mohammad-Ali Balafar, Cina Motamed, Fei Xiong
2021 Complexity  
In this review article, we cover more than 50 research articles in the scope of topic detection from Twitter. We also address deep learning-based methods.  ...  Many enlightening works on different platforms of social media, like Twitter, tried to address the problem of finding important topics from different aspects and utilized it to propose solutions for diverse  ...  detection of events from Twitter social media.  ... 
doi:10.1155/2021/8833084 fatcat:cgy7bqu2fbb65fgh3ntwssbvnq

A Survey on Opinion Reason Mining and Interpreting Sentiment Variations

Fuad Alattar, Khaled Shaalan
2021 IEEE Access  
Learning reasons from sentiment variations is indeed valuable, to either take necessary actions in a timely manner or learn lessons from archived data.  ...  To identify these gaps, a real-life Twitter dataset is analyzed, and key hypothesis for interpreting public sentiment variations are examined.  ...  Eventweet [102] is a scoring scheme for events. It tracks localized-events from live Twitter stream using a timesliding-window technique.  ... 
doi:10.1109/access.2021.3063921 fatcat:i32uuh5dnngy3bsmiuqk26tvim

Data Mining and Knowledge Discovery [chapter]

Chao Zhang, Jiawei Han
2021 The Urban Book Series  
AbstractOur physical world is being projected into online cyberspace at an unprecedented rate.  ...  Such digital data are a result of social sensing: namely people act as human sensors that probe different places in the physical world and share their activities online.  ...  Abdelhaq et al. (2013) proposed the EvenTweet model, which could detect local events with the following steps: (1) examine several previous windows to identify bursty words; (2) compute the spatial entropy  ... 
doi:10.1007/978-981-15-8983-6_42 fatcat:gxnx3jgu4fcqvbieg3ltmdovk4

Using Social Media to Predict the Future: A Systematic Literature Review [article]

Lawrence Phillips, Chase Dowling, Kyle Shaffer, Nathan Hodas and Svitlana Volkova
2017 arXiv   pre-print
Because user behavior on SM is a reflection of events in the real world, researchers have realized they can use SM in order to forecast, making predictions about the future.  ...  The advantage of SM data is its relative ease of acquisition, large quantity, and ability to capture socially relevant information, which may be difficult to gather from other data sources.  ...  Threat detection has built on more general work in event detection which aims to identify events from a stream of SM posts.  ... 
arXiv:1706.06134v1 fatcat:w5t4r2ucunebnaz4rp2ta6zqm4

Detecting local events using multiple social networking services and geographical clustering

Maximilian Schirmer, Hannes Werthner, Julia Neidhardt
2020
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.  ...  detecting local events.  ... 
doi:10.34726/hss.2020.51945 fatcat:gdnzlfmgt5clpglpk335gc7wgq
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