Negative emotion detection on social media during the peak time of COVID-19 through deep learning with an auto-regressive transformer

Author:

Kodati DheerajORCID,Dasari Chandra Mohan

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference77 articles.

1. Detecting fine-grained emotions on social media during major disease outbreaks: Health and well-being before and during the COVID-19 pandemic;Aduragba,2021

2. How intense are you? Predicting intensities of emotions and sentiments using stacked ensemble [application notes];Akhtar;IEEE Comput. Intell. Mag.,2020

3. All-in-one: Emotion, sentiment and intensity prediction using a multi-task ensemble framework;Akhtar;IEEE Trans. Affect. Comput.,2019

4. Emotions and topics expressed on Twitter during the COVID-19 pandemic in the United Kingdom: Comparative geolocation and text mining analysis;Alhuzali;J. Med. Internet Res.,2022

5. Self-attention: A better building block for sentiment analysis neural network classifiers;Ambartsoumian,2018

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