Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 10, 2025Periodicals of Engineering and Natural Sciences (PEN)Open Access

Advancement of artificial intelligence techniques based lexicon emotion analysis for vaccine of COVID-19

View Full Paper
Ask AI
Bookmark
Share

Authors

MJMohammed Rasool JawadMQMaysaloon Abed QasimGCGerardo Cazzato

Discussion

Loading...

Member takes

Overview

Text emotion analysis reveals sentiments of Iraqi people regarding COVID-19, highlighting emotional responses.

Key Points

  • Emotion analysis identifies prevalent feelings regarding COVID-19, enhancing understanding of public sentiment.
  • Using data from Twitter, the research classifies emotional responses into distinct feelings like anger, trust, and joy.
  • The study utilizes lexicon-based analysis to visualize emotional data, shedding light on various societal emotions during the pandemic.
  • Findings may inform public health strategies by recognizing emotional trends surrounding vaccine discussions in Iraq.

Cite This Study

Jawad et al. (2021) studied this question.

synapsesocial.com/papers/68c23dc5b210217d6478f1c3https://doi.org/10.21533/pen.v9.i4.968
View Full Paper
Ask AI
Bookmark
Share