Results 51 to 60 of about 1,153 (163)
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 +2 more
core +1 more source
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 +7 more
wiley +1 more source
Knowledge management and innovation in healthcare
E-ManagementIn order to increase the effectiveness of medical care and adapt to Industry 4.0 technologies, it becomes necessary to determine the current directions of healthcare development.
N. N. Masyuk +3 more
doaj +1 more source
Journal of Financial Research, EarlyView.Abstract I analyze differences between the core and extended trading sessions in the high‐frequency reaction of equity markets to potential news. Using presidential tweets as unanticipated, potentially market‐stirring events, I find that volatility increases and liquidity deteriorates within fractions of a second after a tweet.
Stefan Scharnowski
wiley +1 more source
Main Directions of Arctic Policies in Reports by US Think Tank
РегионологияIntroduction. Against the backdrop of escalating conflict in Ukraine and deepening Russian-Chinese cooperation in the Arctic, US policy is demonstrating new trends. The aim of this study is to identify the main stages in the evolution of US Arctic policy,
Peiying Lv
doaj +1 more source
Journal of Economic Surveys, EarlyView.ABSTRACT This paper investigates the evolving landscape of research on the economics of artificial intelligence (AI). Using topic modeling on a corpus of over 4,600 academic papers, we identify the dominant themes that have shaped the literature to date and highlight areas that remain relatively underexplored. In addition, we assess the extent to which
Lucy Hampton, John Lourenze Poquiz
wiley +1 more source
Analyzing Public Sentiment on Electric Vehicles Through BERTopic and Emotion-Based Data Clustering
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)The escalating impact of technological advancements on worldwide society prompts a closer examination of their profound consequences. Enhanced communication methods and the significant influence of social media platforms stand out as critical factors ...
Kamal H. Jihad +3 more
doaj +1 more source
Fintextsim: Enhancing Financial Text Analysis with Bertopic
Recent advancements in information availability and computational capabilities have transformed the analysis of annual reports, integrating traditional financial metrics with insights from textual data. To extract valuable insights from this wealth of textual data, automated review processes, such as topic modeling, are crucial. This study examines the
Jehnen, Simon +2 more
openaire +2 more sources
LLM‐Assisted Topic Modelling for Hate Speech Characterization
Expert Systems, Volume 43, Issue 7, July 2026.ABSTRACT In the digital era, the internet and social media have transformed communication but have also facilitated the spread of hate speech and disinformation, leading to radicalization, polarisation and toxicity. This is especially concerning for media outlets due to their significant role in shaping public discourse. This study examines the topics,
Alejandro Buitrago López +2 more
wiley +1 more source
, 2023 Customer calls serve as a valuable source of feedback for financial service providers, potentially containing a wealth of unexplored insights into customer questions and concerns.
Axelborn, Henrik, Berggren, John
core +1 more source