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 …
understanding of public perceptions of special topics in a more scientific manner. However …
A systematic review of the use of topic models for short text social media analysis
Recently, research on short text topic models has addressed the challenges of social media
datasets. These models are typically evaluated using automated measures. However, recent …
datasets. These models are typically evaluated using automated measures. However, recent …
[HTML][HTML] Impact of COVID-19 pandemic on ride-hailing services based on large-scale Twitter data analysis
Ride-hailing services have gained popularity in recent years due to attributes such as
reduced travel costs, traffic congestion, and emissions. However, with the impact of COVID …
reduced travel costs, traffic congestion, and emissions. However, with the impact of COVID …
Comparison of topic modelling approaches in the banking context
B Ogunleye, T Maswera, L Hirsch, J Gaudoin… - Applied Sciences, 2023 - mdpi.com
Topic modelling is a prominent task for automatic topic extraction in many applications such
as sentiment analysis and recommendation systems. The approach is vital for service …
as sentiment analysis and recommendation systems. The approach is vital for service …
[HTML][HTML] Effects of the autonomous vehicle crashes on public perception of the technology
Abstract In March 2018, an Uber-pedestrian crash and a Tesla's Model X crash attracted a
lot of media attention because the vehicles were operating under self-driving and autopilot …
lot of media attention because the vehicles were operating under self-driving and autopilot …
Modeling public opinion dissemination in a multilayer network with SEIR model based on real social networks
L Geng, S Yang, K Wang, Q Zhou, L Geng - Engineering Applications of …, 2023 - Elsevier
Due to the complexity of social relationships, Internet users are active in multiple social
networks and receive or release information in various ways and channels. Therefore, the …
networks and receive or release information in various ways and channels. Therefore, the …
An analysis of tripadvisor reviews of 127 urban rail transit networks worldwide
V Taecharungroj - Travel Behaviour and Society, 2022 - Elsevier
Urban rail transit networks (URTNs) are essential for sustainability, equity and liveability of
cities worldwide. Recent studies have explored ways in which URTNs can improve traveller …
cities worldwide. Recent studies have explored ways in which URTNs can improve traveller …
[HTML][HTML] How do new transit stations affect people's sentiment and activity? A case study based on social media data in Hong Kong
Urban rail development can increase land value, reduce commute time, and increase
accessibility, as reported in the literature. However, little is known about the impact of …
accessibility, as reported in the literature. However, little is known about the impact of …
Public attention and attitudes towards bike-sharing in China: A text mining approach
This study aims to investigate the public attention and attitude towards shared bikes (SBs) in
China. More than 721,000 posts collected from Sina Weibo (one of the most popular social …
China. More than 721,000 posts collected from Sina Weibo (one of the most popular social …
Genai-powered multi-agent paradigm for smart urban mobility: Opportunities and challenges for integrating large language models (llms) and retrieval-augmented …
Leveraging recent advances in generative AI, multi-agent systems are increasingly being
developed to enhance the functionality and efficiency of smart city applications. This paper …
developed to enhance the functionality and efficiency of smart city applications. This paper …