A review of social media-based public opinion analyses: Challenges and recommendations

X Dong, Y Lian - Technology in Society, 2021 - Elsevier
Compared with survey polls, social media can yield a better and more comprehensive
understanding of public perceptions of special topics in a more scientific manner. However …

[PDF][PDF] Subjectivity of Implementation of Islamic Legal Thought Products

M Muhammadong, M Dylan… - At-Tasyrih …, 2023 - download.garuda.kemdikbud.go.id
Among Muslims, applying the product of Islamic legal thought is the basic assumption in
making decisions that can be used as a reference so that there is no need to take other legal …

Opinion mining for national security: techniques, domain applications, challenges and research opportunities

NAM Razali, NA Malizan, NA Hasbullah, M Wook… - Journal of big …, 2021 - Springer
Background Opinion mining, or sentiment analysis, is a field in Natural Language
Processing (NLP). It extracts people's thoughts, including assessments, attitudes, and …

Sentiment analysis using Twitter data: a comparative application of lexicon-and machine-learning-based approach

Y Qi, Z Shabrina - Social Network Analysis and Mining, 2023 - Springer
Social media platform such as Twitter provides a space where users share their thoughts
and opinion as well as connect, communicate, and contribute to certain topics using short …

Toward human-centric urban infrastructure: Text mining for social media data to identify the public perception of COVID-19 policy in transportation hubs

JY Park, E Mistur, D Kim, Y Mo, R Hoefer - Sustainable Cities and Society, 2022 - Elsevier
The COVID-19 pandemic has made transportation hubs vulnerable to public health risks. In
response, policies using nonpharmaceutical interventions have been implemented …

Applying and understanding an advanced, novel deep learning approach: A Covid 19, text based, emotions analysis study

J Choudrie, S Patil, K Kotecha, N Matta… - Information Systems …, 2021 - Springer
The pandemic COVID 19 has altered individuals' daily lives across the globe. It has led to
preventive measures such as physical distancing to be imposed on individuals and led to …

[HTML][HTML] Infodemic signal detection during the COVID-19 pandemic: development of a methodology for identifying potential information voids in online conversations

TD Purnat, P Vacca, C Czerniak, S Ball… - JMIR …, 2021 - infodemiology.jmir.org
Background The COVID-19 pandemic has been accompanied by an infodemic: excess
information, including false or misleading information, in digital and physical environments …

Analyzing COVID-19 disinformation on Twitter using the hashtags# scamdemic and# plandemic: retrospective study

HD Lanier, MI Diaz, SN Saleh, CU Lehmann… - PLoS …, 2022 - journals.plos.org
Introduction The use of social media during the COVID-19 pandemic has led to an"
infodemic" of mis-and disinformation with potentially grave consequences. To explore …

Work-from-home (WFH) during COVID-19 pandemic–A netnographic investigation using Twitter data

Z Daneshfar, A Asokan-Ajitha, P Sharma… - … Technology & People, 2023 - emerald.com
Purpose This paper aims to create a better understanding of the challenges posed by work
from home (WFH) during the ongoing COVID-19 pandemic, to investigate the public …

[HTML][HTML] Emotions and topics expressed on Twitter during the COVID-19 pandemic in the United Kingdom: comparative geolocation and text mining analysis

H Alhuzali, T Zhang, S Ananiadou - Journal of Medical Internet Research, 2022 - jmir.org
Background In recent years, the COVID-19 pandemic has brought great changes to public
health, society, and the economy. Social media provide a platform for people to discuss …