Results 11 to 20 of about 1,611,945 (272)
Frontline Learning Research, 2021 Staying at the front line in learning research is challenging because many fields are rapidly developing. One such field is research on the temporal aspects of computer-supported collaborative learning (CSCL).
Joni Lämsä +3 more
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ST-ETM: A Spatial-Temporal Emergency Topic Model for Public Opinion Identifying in Social Networks
IEEE Access, 2020 With the development and popularization of social networks, many users and authoritative media broach and share topics through social networks every day.
Lili Dai, Hongwei Wang, Xia Liu
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Spatial-Temporal Topic Model for Cold-Start Event Recommendation
IEEE Access, 2020 Event recommendation has attracted an increasing attention with the popularity of event-based social networks (EBSNs). The previous studies mainly focus on exploiting various contextual information to alleviate the cold-start problem in event ...
Ruichang Li +3 more
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Language Model-Driven Topic Clustering and Summarization for News Articles
IEEE Access, 2019 Topic models have been widely utilized in Topic Detection and Tracking tasks, which aim to detect, track, and describe topics from a stream of broadcast news reports.
Peng Yang, Wenhan Li, Guangzhen Zhao
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A Bibliometric Review of the Mathematics Journal
Mathematics, 2022 In this study, we conduct a bibliometric review of the Mathematics journal to map its thematic structure, and to identify major research trends for future research to build on.
Hansin Bilgili, Chwen Sheu
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Video Sensor-Based Complex Scene Analysis with Granger Causality
Sensors, 2013 In this report, we propose a novel framework to explore the activity interactions and temporal dependencies between activities in complex video surveillance scenes.
Shuang Wu +4 more
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Frontiers in Environmental Science, 2022 Investor sentiment has always been an active research topic in finance. In recent years, text mining, machine learning and sentiment analysis have been very fruitful, and researchers can extract valuable information from social platforms more promptly ...
Meilan Chen +3 more
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Hierarchical Topic Presence Models [PDF]
arXiv, 2021 Topic models analyze text from a set of documents. Documents are modeled as a mixture of topics, with topics defined as probability distributions on words. Inferences of interest include the most probable topics and characterization of a topic by inspecting the topic's highest probability words.
arxiv
Energies, 2020 The rapid increase in the number of online resources and academic articles has created great challenges for researchers and practitioners to efficiently grasp the status quo of building energy-related research.
Zhikun Ding +3 more
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A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts
Frontiers in Sociology, 2022 The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In particular, emerging data-driven approaches relying on topic models provide entirely new perspectives on ...
Roman Egger, Joanne Yu
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