Results 251 to 260 of about 561,016 (281)

PaxDb v6.0: reprocessed, LLM-selected, curated protein abundance data across organisms. [PDF]

Nucleic Acids Res
Huang Q, Szklarczyk D, Oehninger J, von Mering C.   +3 more
europepmc   +1 more source

Editorial: AI innovations in neuroimaging: transforming brain analysis. [PDF]

Front Med (Lausanne)
Goyal SB, Deshwal D, Sangwan P.
europepmc   +1 more source

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A review of topic modeling methods

Information Systems, 2020
Topic modeling is a popular analytical tool for evaluating data. Numerous methods of topic modeling have been developed which consider many kinds of relationships and restrictions within datasets; however, these methods are not frequently employed ...
Ike Vayansky, Sathish A. P. Kumar
semanticscholar   +3 more sources

Prompting Large Language Models for Topic Modeling

BigData Congress [Services Society], 2023
Topic modeling is a widely used technique for revealing underlying thematic structures within textual data. However, existing models have certain limitations, particularly when dealing with short text datasets that lack co-occurring words.
Han Wang, Nirmalendu Prakash, N. Hoang, Ming Shan Hee, Usman Naseem, Roy Ka-Wei Lee   +5 more
semanticscholar   +1 more source

TOPIC: A Parallel Association Paradigm for Multi-Object Tracking Under Complex Motions and Diverse Scenes

IEEE Transactions on Image Processing, 2023
Video data and algorithms have been driving advances in multi-object tracking (MOT). While existing MOT datasets focus on occlusion and appearance similarity, complex motion patterns are widespread yet overlooked.
X. Cao, Y. Zheng, Yao Yao, Huapeng Qin, Xiaoyu Cao, Shihui Guo   +5 more
semanticscholar   +1 more source

An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit

Information Processing & Management, 2020
Methods for document clustering and topic modelling in online social networks (OSNs) offer a means of categorising, annotating and making sense of large volumes of user generated content.
Stephen A. Curiskis, Barry L. Drake, T. Osborn, Paul J. Kennedy   +3 more
semanticscholar   +1 more source

Datasets for Large Language Models: A Comprehensive Survey

arXiv.org
This paper embarks on an exploration into the Large Language Model (LLM) datasets, which play a crucial role in the remarkable advancements of LLMs.
Yang Liu, Jiahuan Cao, Chongyu Liu, Kai Ding, Lianwen Jin   +4 more
semanticscholar   +1 more source

Analysing Hoax Dataset in Indonesian Language with Topic Modeling

International Conferences on Information Science and System, 2023
Internet-based dissemination of false information in Indonesia becomes a major concern. The majority of Indonesians are exposed to hoaxes, but only a small percentage can identify them. This study focuses on identifying the trend hoaxes of news topics by
Edward Matthew Kurniawan, Vania Natalie Aherman, N. N. Qomariyah, I. Manuaba, A. Anom   +4 more
semanticscholar   +1 more source