Analyzing Public Sentiment Towards the Covid-19 Pandemic: A Twitter-Based Sentiment Analysis and Machine Learning Approach-Reference-Cited by-同舟云学术

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Analyzing Public Sentiment Towards the Covid-19 Pandemic: A Twitter-Based Sentiment Analysis and Machine Learning Approach

Published:2023-09-25 Issue: Volume: Page:
ISSN:
Container-title:2023 18th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP)18th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP 2023)
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Author:

Kanavos Andreas¹,Antonopoulos Nikos²,Mohasseb Alaa³,Mylonas Phivos⁴

Affiliation:

1. Ionian University,Department of Informatics,Corfu,Greece

2. Ionian University,Department of Digital Media and Communication, NeMeCULAB,Argostoli,Greece

3. School of Computing, University of Portsmouth,Portsmouth,UK

4. University of West Attica,Department of Informatics and Computer Engineering,Athens,Greece

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10255069/10255159/10255176.pdf?arnumber=10255176

Reference31 articles.

1. Informational flow on twitter - corona virus outbreak - topic modelling approach;kaila;International Journal of Advanced Research in Engineering and Technology (IJARET),2020

2. T-PICE: Twitter Personality Based Influential Communities Extraction System

3. Deep learning models for forecasting aviation demand time series

4. Sentiment lexicons and non-English languages: a survey

5. Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach

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