SEDTWik: Segmentation-based Event Detection from Tweets Using Wikipedia

NAACL 2019 Keval MorabiaNeti Lalita Bhanu MurthyAruna MalapatiSurender Samant

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. 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... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Twitter Event Detection Events2012 - Oct 11 to Oct 17 SEDTWik Number of Events 79 # 1
Precision 88.12% # 1
Duplicate Event Rate (DERate) 14.10% # 1

Methods used in the Paper


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