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 …

[HTML][HTML] Applications of text mining in services management: A systematic literature review

S Kumar, AK Kar, PV Ilavarasan - International Journal of Information …, 2021 - Elsevier
The importance of text mining is increasing in services management as the access to big
data is increasing across digital platforms enabling such services. This study adopts a …

Sentiment analysis based on deep learning: A comparative study

NC Dang, MN Moreno-García, F De la Prieta - Electronics, 2020 - mdpi.com
The study of public opinion can provide us with valuable information. The analysis of
sentiment on social networks, such as Twitter or Facebook, has become a powerful means …

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 …

Interpretable machine learning-based approach for customer segmentation for new product development from online product reviews

J Joung, H Kim - International Journal of Information Management, 2023 - Elsevier
For new product development, previous segmentation methods based on demographic,
psychographic, and purchase behavior information cannot identify a group of customers with …

Big data analytics for disaster response and recovery through sentiment analysis

JR Ragini, PMR Anand, V Bhaskar - International Journal of Information …, 2018 - Elsevier
Big data created by social media and mobile networks provide an exceptional opportunity to
mine valuable insights from them. This information is harnessed by business entities to …

Text mining of industry 4.0 job advertisements

M Pejic-Bach, T Bertoncel, M Meško, Ž Krstić - International journal of …, 2020 - Elsevier
Since changes in job characteristics in areas such as Industry 4.0 are rapid, fast tool for
analysis of job advertisements is needed. Current knowledge about competencies required …

Integrating human knowledge into artificial intelligence for complex and ill-structured problems: Informed artificial intelligence

M Johnson, A Albizri, A Harfouche… - International Journal of …, 2022 - Elsevier
Artificial intelligence (AI) has been gaining significant attention in various fields to reduce
costs, increase revenue, and improve customer satisfaction. AI can be particularly beneficial …

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 …

Forecasting the US oil markets based on social media information during the COVID-19 pandemic

B Wu, L Wang, S Wang, YR Zeng - Energy, 2021 - Elsevier
Accurate oil market forecasting plays an important role in the theory and application of oil
supply chain management for profit maximization and risk minimization. However, the …