Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Embed2Detect
T2 - Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract
AU - Hettiarachchi, Hansi
AU - Adedoyin-Olowe, Mariam
AU - Bhogal, Jagdev
AU - Gaber, Mohamed Medhat
PY - 2021/10/20
Y1 - 2021/10/20
N2 - This paper is an extended abstract for work [1]. We propose a novel method termed Embed2Detect for event detection in social media by mainly combining the characteristics in word embeddings and dendrograms. The adoption of word embeddings incorporates powerful semantical features into event detection to overcome a major limitation inherent in previous approaches.
AB - This paper is an extended abstract for work [1]. We propose a novel method termed Embed2Detect for event detection in social media by mainly combining the characteristics in word embeddings and dendrograms. The adoption of word embeddings incorporates powerful semantical features into event detection to overcome a major limitation inherent in previous approaches.
U2 - 10.1109/dsaa53316.2021.9564110
DO - 10.1109/dsaa53316.2021.9564110
M3 - Conference contribution/Paper
SN - 9781665421003
BT - 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)
PB - IEEE
ER -