A review of topic modeling methods

I Vayansky, SAP Kumar - Information Systems, 2020 - Elsevier
Topic modeling is a popular analytical tool for evaluating data. Numerous methods of topic
modeling have been developed which consider many kinds of relationships and restrictions …

[HTML][HTML] Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions

MSM Suhaimin, MHA Hijazi, EG Moung… - Journal of King Saud …, 2023 - Elsevier
The interest in social media sentiment analysis and opinion mining for public security events
has increased over the years. The availability of social media platforms for communication …

Using social media to mine and analyze public opinion related to COVID-19 in China

X Han, J Wang, M Zhang, X Wang - International journal of environmental …, 2020 - mdpi.com
The outbreak of Corona Virus Disease 2019 (COVID-19) is a grave global public health
emergency. Nowadays, social media has become the main channel through which the …

How climate movement actors and news media frame climate change and strike: Evidence from analyzing twitter and news media discourse from 2018 to 2021

K Chen, AL Molder, Z Duan… - … Journal of Press …, 2023 - journals.sagepub.com
Twitter enables an online public sphere for social movement actors, news organizations,
and others to frame climate change and the climate movement. In this paper, we analyze five …

Analysis of spatiotemporal characteristics of big data on social media sentiment with COVID-19 epidemic topics

B Zhu, X Zheng, H Liu, J Li, P Wang - Chaos, Solitons & Fractals, 2020 - Elsevier
COVID-19 blocked Wuhan in China, which was sealed off on Chinese New Year's Eve.
During this period, the research on the relevant topics of COVID-19 and emotional …

The climate change Twitter dataset

D Effrosynidis, AI Karasakalidis, G Sylaios… - Expert Systems with …, 2022 - Elsevier
This work creates and makes publicly available the most comprehensive dataset to date
regarding climate change and human opinions via Twitter. It has the heftiest temporal …

Topic-level sentiment analysis of social media data using deep learning

AR Pathak, M Pandey, S Rautaray - Applied Soft Computing, 2021 - Elsevier
Due to the inception of Web 2.0 and freedom to facilitate the dissemination of information,
sharing views, expressing opinions with regards to current world level events, services …

A deep learning-based sentiment analysis approach (MF-CNN-BILSTM) and topic modeling of tweets related to the Ukraine–Russia conflict

S Aslan - Applied Soft Computing, 2023 - Elsevier
Twitter, one of the most significant social media platforms, can be used as data sources to
research public opinion on various topics, including political conflicts. People worldwide …

[HTML][HTML] Fossil fuel companies' climate communication strategies: Industry messaging on renewables and natural gas

Y Si, D Desai, D Bozhilova, S Puffer… - Energy Research & Social …, 2023 - Elsevier
Research shows that multinational oil and gas companies have recently made a strategic
shift away from outright climate denial to more nuanced discourses of climate delay …

COVID-19, climate change, and the finite pool of worry in 2019 to 2021 Twitter discussions

O Smirnov, PH Hsieh - … of the National Academy of Sciences, 2022 - National Acad Sciences
Climate change mitigation has been one of the world's most salient issues for the past three
decades. However, global policy attention has been partially diverted to address the COVID …