TY - GEN
T1 - Sentiment Analysis on Covid-19 Vaccinations in Ireland using Support Vector Machine
AU - Cepeda, Karla
AU - Jaiswal, Rajesh
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Monitoring and analyzing social data is currently a norm to gauge public sentiments for efficiently marketing prod-ucts and services. With the recent outbreak of the Coronavirus disease 2019 (Covid-19) and subsequent vaccination programs, it became essential to spread awareness and understand the public sentiments on Covid-19 vaccines. This paper describes the life-cycle of conducting a Sentiment Analysis (SA) on the Covid-19 vaccination program in Ireland. Global and Irish Tweets were collected via Twitter API from January 2020 to August 2021. A lexicon and rule-based VADER tool labelled the global dataset as negative, positive, and neutral. After that, Irish tweets were classified into different sentiments using Support Vector Machine (SVM). Results show positive sentiment toward vaccines at the beginning of the vaccination drive, however, this sentiment gradually changed to negative in early 2021.
AB - Monitoring and analyzing social data is currently a norm to gauge public sentiments for efficiently marketing prod-ucts and services. With the recent outbreak of the Coronavirus disease 2019 (Covid-19) and subsequent vaccination programs, it became essential to spread awareness and understand the public sentiments on Covid-19 vaccines. This paper describes the life-cycle of conducting a Sentiment Analysis (SA) on the Covid-19 vaccination program in Ireland. Global and Irish Tweets were collected via Twitter API from January 2020 to August 2021. A lexicon and rule-based VADER tool labelled the global dataset as negative, positive, and neutral. After that, Irish tweets were classified into different sentiments using Support Vector Machine (SVM). Results show positive sentiment toward vaccines at the beginning of the vaccination drive, however, this sentiment gradually changed to negative in early 2021.
KW - Covid-19
KW - Natural Processing Lan-guage
KW - Sentiment Analysis
KW - Support Vector Machine
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=85135964149&partnerID=8YFLogxK
U2 - 10.1109/ISSC55427.2022.9826215
DO - 10.1109/ISSC55427.2022.9826215
M3 - Conference contribution
AN - SCOPUS:85135964149
T3 - 2022 33rd Irish Signals and Systems Conference, ISSC 2022
BT - 2022 33rd Irish Signals and Systems Conference, ISSC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd Irish Signals and Systems Conference, ISSC 2022
Y2 - 9 June 2022 through 10 June 2022
ER -