Results 41 to 50 of about 52,118 (285)
Multilingual Topic Labelling of News Topics Using Ontological Mapping
, 2022 The large volume of news produced daily makes topic modelling useful for analysing topical trends. A topic is usually represented by a ranked list of words but this can be dicult and time-consuming for humans to interpret. Therefore, various methods have been proposed to generate labels that capture the semantic content of a topic.
Elaine Zosa +3 more
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A Labeling Method for Financial Time Series Prediction Based on Trends
Entropy, 2020 Time series prediction has been widely applied to the finance industry in applications such as stock market price and commodity price forecasting. Machine learning methods have been widely used in financial time series prediction in recent years.
Dingming Wu +4 more
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Barekeng, 2023 Let G be an undirected, connected, and simple graph with edges set E(G)and vertex set V(G). An edge irregular reflexive k-labeling f is one in which the label for each edge is an integer number {1,2,…, k_e} and the label for each vertex is an even ...
Diari Indriati, Tsabita Azzahra
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A Study of Automated Topic Labeling Based on Large Language Models [PDF]
Journal of Library and Information StudiesThis study proposes an automated topic labeling method based on large language models (LLMs), capable of generating meaningful term and summary labels for each topic within a topic model.
Sung-Chien Lin
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JMIR Medical Informatics, 2022 BackgroundTopic modeling of patient medication reviews of erectile dysfunction (ED) drugs can help identify patient preferences regarding ED treatment options.
Maryanne Kim +3 more
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Introduction to local certification [PDF]
Discrete Mathematics & Theoretical Computer Science, 2021 A distributed graph algorithm is basically an algorithm where every node of a graph can look at its neighborhood at some distance in the graph and chose its output.
Laurent Feuilloley
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An Online Topic Modeling Framework with Topics Automatically Labeled
CoRR, 2019 5 pages, 3 figures ...
Fenglei Jin +2 more
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What’s the Matter? Knowledge Acquisition by Unsupervised Multi-Topic Labeling for Spoken Utterances
, 2021 Systems such as Alexa, Cortana, and Siri app ear rather smart. However, they only react to predefined wordings and do not actually grasp the user\u27s intent.
Hey, Tobias +3 more
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, 2022 International audienceGraph-based semantic measures have been used to solve problems in several domains. They tend to compare semantic entities in order to estimate their similarity or relatedness.
El Ghosh, Mirna +4 more
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Active learning for the optimal design of multinomial classification in physics
Physical Review Research, 2022 Optimal design for model training is a critical topic in machine learning. Active learning aims at obtaining improved models by querying samples with maximum uncertainty according to the estimation model for artificially labeling; this has the additional
Yongcheng Ding +4 more
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