About: MaTED: Metadata-Assisted Twitter Event Detection System

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	MaTED: Metadata-Assisted Twitter Event Detection System
Creator	Fatima, Ummul Kostakos, Panos Oussalah, Mourad Pandya, Abhinay
Source	PMC
abstract	Due to its asynchronous message-sharing and real-time capabilities, Twitter offers a valuable opportunity to detect events in a timely manner. 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. 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. We show that our system utilizing temporal, social, and Twitter-specific features yields improvement in the precision, recall, and DERate on the benchmarked Events2012 corpus compared to the state-of-the-art approaches.
has issue date	2020-05-18(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50146-4_30
has license	no-cc
sha1sum (hex)	652099dba4115fde2e78b2431f139489da191210
schema:url	https://doi.org/10.1007/978-3-030-50146-4_30
resource representing a document's title	MaTED: Metadata-Assisted Twitter Event Detection System
has PubMed Central identifier	PMC7274331
schema:publication	Information Processing and Management of Uncertainty in Knowledge-Based Systems
resource representing a document's body	covid:652099dba4115fde2e78b2431f139489da191210#body_text
is schema:about of	named entity 'event' named entity 'social' named entity 'EFFICIENT' named entity 'MESSAGE' named entity 'DUE TO' named entity 'LARGE' named entity 'OUR' named entity 'EXTEND' named entity 'WORDNET' named entity 'recall' named entity 'benchmarked' named entity 'system' named entity 'named entities' named entity 'Twitter' named entity 'DERate' named entity 'WordNet' named entity 'Twitter' named entity 'emojis' named entity 'DERate' named entity 'WordNet' named entity 'Twitter' named entity 'OpenNLP' named entity 'web pages' named entity 'DBpedia' named entity 'URLs' named entity 'Binomial distribution' named entity 'natural language processing' named entity 'NLTK' named entity 'web page' named entity 'information sharing' named entity 'hashtags' named entity 'Twitter' named entity 'URL' named entity 'DBPedia' named entity 'URL' named entity 'Twitter' named entity 'k-Nearest neighbors' named entity 'named-entity recognition' named entity 'URLs' named entity 'web service' named entity 'Twitter' named entity 'microblogging platforms' named entity 'social media' named entity 'cross correlation' named entity 'web service' named entity 'tokenizer' named entity 'wavelet transform' named entity 'hashtags' named entity 'semantics' named entity 'short message' named entity 'probability' named entity 'lack of structure' named entity 'online social network services' named entity 'Social media' named entity 'probability' named entity 'user-created' named entity 'tokenize' named entity 'Twitter' named entity 'prototype' named entity 'hyponym' named entity 'DBPedia' named entity 'social media' named entity 'DBPedia' named entity 'WordNet' named entity 'DBPedia' named entity 'RDF' named entity 'spam' named entity 'DBPedia' named entity 'web page' named entity 'DBPedia' named entity 'mobile phone' named entity 'API' named entity 'hashtags' named entity 'terrorist activity' named entity 'URLs' named entity 'sensor' named entity 'slang words' named entity 'tweets' named entity 'Twitter' named entity 'Twitter'

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