Affiliation:
1. Vels Institute of Science, Technology, and Advanced Studies, India
Abstract
The chapter delves into the intricate web of conversations surrounding the COVID-19 vaccine on Twitter and explores its potential association with heart disease symptoms. In an era where social media plays a pivotal role in shaping public perception and disseminating information, understanding the narratives and concerns around vaccine safety is of paramount importance. Leveraging a dataset curated from Twitter discussions, the authors employ natural language processing techniques and sentiment analysis to unearth insights regarding heart disease symptoms mentioned in the context of COVID-19 vaccination. This research unearths the sentiments, trends, and possible correlations within this corpus of Twitter data. By unmasking potential connections between COVID-19 vaccination and heart disease symptoms, this study contributes to a more comprehensive understanding of vaccine-related discussions and their implications for public health.
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