Topic modeling algorithms and applications: A survey

A Abdelrazek, Y Eid, E Gawish, W Medhat, A Hassan - Information Systems, 2023‏ - Elsevier
Topic modeling is used in information retrieval to infer the hidden themes in a collection of
documents and thus provides an automatic means to organize, understand and summarize …

State of Industry 5.0—Analysis and identification of current research trends

A Akundi, D Euresti, S Luna, W Ankobiah… - Applied System …, 2022‏ - mdpi.com
The term Industry 4.0, coined to be the fourth industrial revolution, refers to a higher level of
automation for operational productivity and efficiency by connecting virtual and physical …

Public perceptions of environmental, social, and governance (ESG) based on social media data: Evidence from China

M Liu, X Luo, WZ Lu - Journal of Cleaner Production, 2023‏ - Elsevier
Environmental and social challenges are intensifying globally. Then along comes more
demands to deliver successful environmental, social, and governance (ESG) outcomes …

The evolution of topic modeling

R Churchill, L Singh - ACM Computing Surveys, 2022‏ - dl.acm.org
Topic models have been applied to everything from books to newspapers to social media
posts in an effort to identify the most prevalent themes of a text corpus. We provide an in …

[HTML][HTML] Exploring the boundaries of open innovation: Evidence from social media mining

JR Saura, D Palacios-Marqués, D Ribeiro-Soriano - Technovation, 2023‏ - Elsevier
Technological development of the last several decades has driven open innovation towards
organizational, business, social, and economic change. Open innovation has emerged as …

Research on strategies for improving green product consumption sentiment from the perspective of big data

L Wang, L Chen, C Li - Journal of Retailing and Consumer Services, 2024‏ - Elsevier
Promoting green development by stimulating consumers' green consumption sentiment is
an important measure to achieve carbon peaking and carbon neutrality goals in China. This …

Topic modeling using latent Dirichlet allocation: A survey

U Chauhan, A Shah - ACM Computing Surveys (CSUR), 2021‏ - dl.acm.org
We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …

Investigating ChatGPT and cybersecurity: A perspective on topic modeling and sentiment analysis

OD Okey, EU Udo, RL Rosa, DZ Rodríguez… - Computers & …, 2023‏ - Elsevier
Abstract In early 2023, the Artificial Intelligence (AI) industry experienced a significant
advancement with the emergence of OpenAI's ChatGPT, a research product that …

Virtually in this together–how web-conferencing systems enabled a new virtual togetherness during the COVID-19 crisis

J Hacker, J Vom Brocke, J Handali, M Otto… - European Journal of …, 2020‏ - Taylor & Francis
Regulations to contain the spread of COVID-19 have affected corporations, institutions, and
individuals to a degree that most people have never seen before. Information systems …

Deep sentiment classification and topic discovery on novel coronavirus or COVID-19 online discussions: NLP using LSTM recurrent neural network approach

H Jelodar, Y Wang, R Orji… - IEEE Journal of Biomedical …, 2020‏ - ieeexplore.ieee.org
Internet forums and public social media, such as online healthcare forums, provide a
convenient channel for users (people/patients) concerned about health issues to discuss …