Sentiment Analysis in Social Media: A Deep Learning Framework for Analyzing Public Sentiment toward Policies during Natural Disasters

Sentiment Analysis in Social Media: A Deep Learning Framework for Analyzing Public Sentiment toward Policies during Natural Disasters

The primary aim of this study is to produce and present a robust, reliable, and accurate framework to measure and analyze public sentiments for decision-makers and policies legislators while managing and administrating the spread of a pandemic or a natural disaster in general. The study utilizes COV...

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Bibliographic Details
Main Author: FOOLAD, MOHAMED ABDULLA (author)
Published: 2023
Subjects:
sentiment analysis, opinion mining, emojis, social media, twitter, LSTM, transformers, random forest, logistic regression, K-nearest neighbor, naïve bayes classifiers, COVID-19
Online Access:https://bspace.buid.ac.ae/handle/1234/2522
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