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Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract

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Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract. / Hettiarachchi, Hansi; Adedoyin-Olowe, Mariam; Bhogal, Jagdev et al.
2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2021.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Hettiarachchi, H, Adedoyin-Olowe, M, Bhogal, J & Gaber, MM 2021, Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract. in 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA). IEEE. https://doi.org/10.1109/dsaa53316.2021.9564110

APA

Hettiarachchi, H., Adedoyin-Olowe, M., Bhogal, J., & Gaber, M. M. (2021). Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract. In 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA) IEEE. https://doi.org/10.1109/dsaa53316.2021.9564110

Vancouver

Hettiarachchi H, Adedoyin-Olowe M, Bhogal J, Gaber MM. Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract. In 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA). IEEE. 2021 Epub 2021 Oct 6. doi: 10.1109/dsaa53316.2021.9564110

Author

Hettiarachchi, Hansi ; Adedoyin-Olowe, Mariam ; Bhogal, Jagdev et al. / Embed2Detect : Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract. 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2021.

Bibtex

@inproceedings{310b3dac40834cf9ba48dfdf1661ff6c,
title = "Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract",
abstract = "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.",
author = "Hansi Hettiarachchi and Mariam Adedoyin-Olowe and Jagdev Bhogal and Gaber, {Mohamed Medhat}",
year = "2021",
month = oct,
day = "20",
doi = "10.1109/dsaa53316.2021.9564110",
language = "English",
isbn = "9781665421003",
booktitle = "2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)",
publisher = "IEEE",

}

RIS

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 -