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SEDTWik: Segmentation-based Event Detection from Tweets Using Wikipedia
2019
North American Chapter of the Association for Computational Linguistics
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This paper presents the problems associated with event detection from tweets and a tweet-segmentation based system for event detection called SEDTWik, an extension to a previous work, that is able to detect ...
Previous works on event detection from tweets are either applicable to detect localized events or breaking news only or miss out on many important events. ...
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 ...
doi:10.18653/v1/n19-3011
dblp:conf/naacl/MorabiaNMS19
fatcat:alrj3djrfjdaxh5tf23yjvxunu
Twevent
2012
Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12
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In this paper, we propose a segment-based event detection system for tweets, called Twevent. ...
We also show that Twevent is efficient and scalable, leading to a desirable solution for event detection from tweets. ...
Overview of Twevent To address the above challenges, we present Twevent, a novel segment-based event detection system for tweets. ...
doi:10.1145/2396761.2396785
dblp:conf/cikm/LiSD12
fatcat:ro67eohxsrd5rdzyfxkzytjeta
Frame-Based Representation for Event Detection on Twitter
2018
IEICE transactions on information and systems
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Experimental results show that frame-based event detection leads to improved precision over a state-of-the-art baseline segment-based event detection method. ...
Large scale first-hand tweets motivate automatic event detection on Twitter. Previous approaches model events by clustering tweets, words or segments. ...
The proposed Frame based representation for Event Detection on Twitter, FrED, outperforms the segment-based method of Li et al. [6] (Twevent) on a benchmark of 31 million tweets. ...
doi:10.1587/transinf.2017edp7311
fatcat:hrmaqt6t3zechot3q3sbh5uchy
MaTED: Metadata-Assisted Twitter Event Detection System
[chapter]
2020
Communications in Computer and Information Science
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We extend this line of research by incorporating external knowledge bases such as DBPedia, WordNet; and exploiting specific features of Twitter for efficient event detection. ...
Existing approaches for event detection have mainly focused on building a temporal profile of named entities and detecting unusually large bursts in their usage to signify an event. ...
This work is partly supported by EU YoungRes project (#823701) on polarization detection. ...
doi:10.1007/978-3-030-50146-4_30
fatcat:6sqihime7vdbnn5j7pvvldnlza
TopicSketch: Real-Time Bursty Topic Detection from Twitter
2013
2013 IEEE 13th International Conference on Data Mining
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A bursty topic in Twitter is one that triggers a surge of relevant tweets within a short time, which often reflects important events of mass interest. ...
Especially it is also demonstrated that TopicSketch can potentially handle hundreds of millions tweets per day which is close to the total number of daily tweets in Twitter and present bursty event in ...
Twevent [20] is the state-of-the-art system detecting events from tweet stream. ...
doi:10.1109/icdm.2013.86
dblp:conf/icdm/XieZJLW13
fatcat:l474imet7fdsdnjh7mal3eg22m
Discovery of Newsworthy Events in Twitter
2018
Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security
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One such research field is the field of event detection in Social Media. The purpose of this work is to implement a system to detect newsworthy events in Twitter. ...
For this purpose, a segmentation algorithm implemented using a dynamic programming approach is proposed in order to split the tweets into segments. ...
More closely related to this work, Twevent (C. Li et al. 2012 ) is proposed as a segment based event detection framework. ...
doi:10.5220/0006712702440252
dblp:conf/iotbd/DuartePA18
fatcat:gngvyn653jbmxcgcu4p7uaokbu
TopicSketch: Real-Time Bursty Topic Detection from Twitter
2016
IEEE Transactions on Knowledge and Data Engineering
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A bursty topic in Twitter is one that triggers a surge of relevant tweets within a short time, which often reflects important events of mass interest. ...
Especially it is also demonstrated that TopicSketch can potentially handle hundreds of millions tweets per day which is close to the total number of daily tweets in Twitter and present bursty event in ...
Twevent [20] is the state-of-the-art system detecting events from tweet stream. ...
doi:10.1109/tkde.2016.2556661
fatcat:3obzc5w7wfd3ffmno7z32fasqq
An Improved Approach for Twitter Data Analysis using Clustering and J48 Classification
2016
International Journal of Computer Applications
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Social Media Network is one of the main source of data for various event detections. ...
The Planned Procedure applied here is based on SVM Supervised Learning based Clustering of Similar features of Traffic and then classify the Data using J48 Decision Tree to classify number of events performed ...
Li et al. present Twevent in [8] . It is a state-of-the-art system detecting events from the tweet stream. ...
doi:10.5120/ijca2016912562
fatcat:7wmupe3rs5gujgp44ve3h6hbeu
SMERC: Social media event response clustering using textual and temporal information
[article]
2018
arXiv
pre-print
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Tweet clustering for event detection is a powerful modern method to automate the real-time detection of events. ...
Our method Social Media Event Response Clustering (SMERC) creates clusters of tweets based on their tendency to be related to a single event. ...
Twevent [14] extracts continuous and non-overlapping word segments, and then calculates bursty event segments within a fixed length window. ...
arXiv:1811.05063v1
fatcat:2zgzzr56wbgzvj52t7uie65whm
Editorial: Survey and Experimental Analysis of Event Detection Techniques for Twitter
2016
Computer journal
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In response to this trend, numerous event detection techniques have been proposed to cope with the rate and volume of Twitter data streams. ...
In this paper, we present a survey and experimental analysis of state-of-the-art event detection techniques for Twitter data streams. ...
ACKNOWLEDGEMENTS We would also like to thank our students Christina Papavasileiou, Harry Schilling and Wai-Lok Cheung for their contributions to the implementations of the WATIS, EDCoW and ENB event detection ...
doi:10.1093/comjnl/bxw056
fatcat:3cndpwuqcjbypdpx6dxilrh5hy
Event Detection in Twitter by Weighting Tweet's Features
[article]
2020
arXiv
pre-print
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The main idea of this research is to differentiate among tweets based on some of their features. ...
The results show that the average execution time and the precision of event detection in the presented method improved 27% and 31%, respectively, than the base method. ...
In this method, events detected by matching the event's keywords on cluster labels. Li et al. (2012) have proposed a scalable segment-based event detection system, named Twevent. ...
arXiv:2010.00665v1
fatcat:rsd7vuwxwbd7xka2lbcditj7zi
Event Detection in Czech Twitter
2016
Research in Computing Science
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It uses user-lists to discover potentially interesting tweets which are further clustered into groups based on the content. The final decision is based on thresholding. ...
The detected events are then presented to users in an acceptable form. A novel event detection approach adapted to the Czech Twitter is thus proposed. ...
They propose a sophisticated system called Twevent, which first detects "bursty tweet segments" as event segments and then they are clustered considering both their frequency distribution and content similarity ...
doi:10.13053/rcs-110-1-7
fatcat:ce3ql4br5rdu3o2utjjb46x23q
PESTLE BASED EVENT DETECTION AND CLASSIFICATION
2015
International Journal of Research in Engineering and Technology
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PESTLE based event detection approach proposed in this paper would help for PESTLE analysis of any organization. ...
It helps to give true view of the environment from different aspects. ...
A segment-based event detection system for tweets, called Twevent is discussed by Li et al. [16] . ...
doi:10.15623/ijret.2015.0405112
fatcat:r6lgqlle7baxfmqdp7jsgwsmkq
Detecting Events in Online Social Networks: Definitions, Trends and Challenges
[chapter]
2016
Lecture Notes in Computer Science
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In this article, we present a wide range of event detection algorithms, architectures and evaluation methodologies. ...
The problem of event detection has been examined in multiple social media sources like Twitter, Flickr, YouTube and Facebook. ...
The TwEvent system [51] implements the idea of using tweet segments (Ngrams) instead of unigrams. Segment extraction is based on Wikipedia corpus and the Microsoft N-gram service 4 . ...
doi:10.1007/978-3-319-41706-6_2
fatcat:4neqe4dxlvczndld3d2xkqtyxu
Real-Time Data Harvesting Method for Czech Twitter
2017
Proceedings of the 9th International Conference on Agents and Artificial Intelligence
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This method uses user lists to discover potentially interesting tweets to download. ...
The main goal is to propose an approach to harvest interesting messages from Twitter in Czech language with high download speed. ...
The authors propose a system called Twevent, which first detects event segments and then, they are clustered considering both their frequency distribution and content similarity to discover events. ...
doi:10.5220/0006212402590265
dblp:conf/icaart/KralR17
fatcat:aa2lwi3yufam5ap2ehebyknswi
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