Results 41 to 50 of about 1,751 (215)

Forecasting Topic, Word, and Hashtag Popularity on X (Twitter) Using LightGBM for Digital Marketing Optimization

Journal of Applied Informatics and Computing
This study presents a machine learning, based framework to forecast the popularity of topics, words, and hashtags on platform X (Twitter) for data-driven digital marketing optimization.
Deannisa Syafira Putri, Amri Muhaimin, Mohammad Idhom   +2 more
doaj   +1 more source

Synergies of Geospatial and Digital Technologies for Sustainable Rural Development: A Data‐Driven Analysis of Topics and Novelty Assessment

Sustainable Development, EarlyView.
ABSTRACT The adoption of geospatial and digital technologies, including Geographic Information Systems (GIS), Building Information Modelling (BIM), Digital Twins, the Internet of Things (IoT) and Artificial Intelligence (AI), is increasingly recognised as key enablers of sustainable development.
Monica C. M. Parlato, Andrea Pezzuolo
wiley   +1 more source

Modeling Political Discourse with Sentence-BERT and BERTopic

CoRR
Social media has reshaped political discourse, offering politicians a platform for direct engagement while reinforcing polarization and ideological divides. This study introduces a novel topic evolution framework that integrates BERTopic-based topic modeling with Moral Foundations Theory (MFT) to analyze the longevity and moral dimensions of political ...
Margarida Mendonça, Álvaro Figueira
openaire   +2 more sources

PEMODELAN TOPIK SARAN MAHASISWA PADA SIMAK UNISMUH MENGGUNAKAN BERTOPIC [PDF]

This study examines the use of the BERTopic algorithm for topic modeling on student feedback data collected through the SIMAK UNISMUH. The research aims to identify and visualize thematic patterns in student feedback to improve academic services and ...
Wahyuni, Titin, Irhamna Rachman, Fahrim, Indriani, Lis, Yusliana Bakti, Rizki   +3 more
core   +2 more sources

Educational robots for student creativity development: Research trends and evidence from topic modeling, meta-analysis, and rule mining

Educational Technology & Society
With the increasing adoption of educational robots (ERs) to support creativity development, a comprehensive understanding of their research landscape, empirical effectiveness, and instructional conditions becomes necessary. This study addresses this need
Xieling Chen, Haoran Xie, Xiaohui Tao, Lin Li, Xingquan Peng and Fu Lee Wang
doaj   +1 more source

When machines join the moral circle: The persona effect of generative AI agents in collaborative reasoning

British Journal of Educational Technology, EarlyView.
Abstract Generative AI is increasingly positioned as a peer in collaborative learning, yet its effects on ethical deliberation remain unclear. We report a between‐subjects experiment with university students (N = 217) who discussed an autonomous‐vehicle dilemma in triads under three conditions: human‐only control, supportive AI teammate or contrarian ...
Yueqiao Jin, Roberto Martinez‐Maldonado, Wanruo Shi, Songjie Huang, Mingmin Zheng, Xinbin Han, Dragan Gasevic, Lixiang Yan   +7 more
wiley   +1 more source

Topic information mined by the BERTopic algorithm (N = 17,593). [PDF]

Topic information mined by the BERTopic algorithm (N = 17,593).
Zhouyi Gu (17972850), Xuan Pan (187031), Zhuoyuan Tang (17972847)   +2 more
core   +1 more source

Positive and Negative Topics of Metaverse Library from China: A Sentiment-Topic Analysis

Libri
The concept of metaverse libraries has the potential to usher in the next phase of library development. Chinese scholars in the field of library science have engaged in extensive discussions about metaverse libraries.
Yuan Yiming, Wu Jiang, Yu Yang, He Chaocheng, Jin Zihan   +4 more
doaj   +1 more source

Personally meaningful life events from adolescence to young adulthood: a longitudinal natural language processing analysis

Journal of Child Psychology and Psychiatry, EarlyView.
Background Large‐scale population‐based studies of risk and protective factors for youth mental health rarely assess youths' first‐hand experiences in their own words. This longitudinal study analyzed young people's self‐reported most important life events and examined how the key topics changed from midadolescence to young adulthood and are associated
David Bürgin, Christina Haag, Lynn Alison Büeler, Laura Bechtiger, Clarissa Janousch, Elena Feldmann, Denis Ribeaud, Manuel Eisner, Viktor von Wyl, Lilly Shanahan   +9 more
wiley   +1 more source

Identifying Customer Preference Factors in FrontWarehouse Fresh E-commerce : A BERTopic and Sentiment Analysis Approach [PDF]

In recent years, front-warehouse fresh e-commerce has rapidly expanded in China, with platforms such as Dingdong Maicai meeting consumer demand for high-frequency and immediate grocery purchases through instant delivery.
Xiaomei, Han, Chin Hong, Puah, Hamrila, Abdul Latip   +2 more
core   +1 more source