Public Sentiments in User Generated Content amid COVID-19 Pandemic in Ghana

Towards post COVID-19 pandemic, a natural language processing (NLP) technique was leveraged to understand the sentiments of Ghanaians through their public discourse in tweets during the lockdown period in Ghana. With NLP resources, feature words were extracted from the tweets and fed into three mach...

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Bibliographic Details
Main Author: Kolog, Emmanuel Awuni
Format: Conference Proceeding
Language:English
Subjects:
Blogs
COVID-19
Lockdown
Machine learning
Machine learning algorithms
Pandemics
Sentiment analysis
Social networking (online)
Support vector machines
Tweets
Online Access:Request full text
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