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...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	FOOLAD, MOHAMED ABDULLA (author)
منشور في:	2023
الموضوعات:	sentiment analysis, opinion mining, emojis, social media, twitter, LSTM, transformers, random forest, logistic regression, K-nearest neighbor, naïve bayes classifiers, COVID-19
الوصول للمادة أونلاين:	https://bspace.buid.ac.ae/handle/1234/2522
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

كن أول من يترك تعليقا!

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

مواد مشابهة