A Classification Approach to Detect Public Sentiments towards COVID-19 Vaccines.
Karabo Johannes Ntwaagae|Nkwebi Peace Motlogelwa|Edwin Thuma|Tebo Leburu-Dingalo|Gontlafetse Mosweunyane
| Anthology ID: | DBLP:conf/fire/NtwaagaeMTLM22 |
|---|---|
| Volume: | Working Notes of FIRE 2022 - Forum for Information Retrieval Evaluation, Kolkata, India, December 9-13, 2022. |
| Year: | 2022 |
| Venue: | Forum for Information Retrieval Evaluation (FIRE) |
| Publisher: | CEUR-WS.org |
| Pages: | 354-360 |
| URL: | https://ceur-ws.org/Vol-3395/T5-9.pdf |
| DBLP: | conf/fire/NtwaagaeMTLM22 |
| BibTeX: |
@inproceedings{ntwaagae-2022-classification,
author = {Karabo Johannes Ntwaagae and
Nkwebi Peace Motlogelwa and
Edwin Thuma and
Tebo Leburu-Dingalo and
Gontlafetse Mosweunyane},
editor = {Kripabandhu Ghosh and
Thomas Mandl and
Prasenjit Majumder and
Mandar Mitra},
title = {{A Classification Approach to Detect Public Sentiments towards COVID-19 Vaccines}},
booktitle = {{Working Notes of FIRE 2022 - Forum for Information Retrieval Evaluation, Kolkata, India, December 9-13, 2022}},
series = {CEUR Workshop Proceedings},
volume = {3395},
pages = {354--360},
publisher = {CEUR-WS.org},
year = {2022},
url = {https://ceur-ws.org/Vol-3395/T5-9.pdf}
}