Results 21 to 30 of about 254,803 (193)
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.
Zosa, Elaine +3 more
openaire +2 more sources
Consumer Research Needs from the Food and Drug Administration on Front-of-Package Nutritional Labeling [PDF]
, 2014 Americans have increasingly busy lifestyles and desire quick and nutritious food choices. To provide consumers with at-a-glance nutrition information, many food manufacturers have introduced front-of-package (FOP) nutritional labeling systems.
Andrews, J. Craig +3 more
core +3 more sources
Automatic Labeling of Topic Models Using Graph-Based Ranking
IEEE Access, 2019 Generated topic label, an alternative representation of topics learned by topic model, is widely used to help the user interpret the topics more efficiently. A major challenge now is to label a discovered topic accurately in an objective way.
Dongbin He +4 more
doaj +1 more source
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
doaj +1 more source
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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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
doaj +1 more source
Entities as Topic Labels: Combining Entity Linking and Labeled LDA to Improve Topic Interpretability and Evaluability [PDF]
Italian Journal of Computational Linguistics, 2016 Digital humanities scholars strongly need a corpus exploration method that provides topics easier to interpret than standard LDA topic models. To move towards this goal, here we propose a combination of two techniques, called Entity Linking and Labeled LDA.
Lauscher, Anne +3 more
openaire +4 more sources
Concept Extraction and Clustering for Topic Digital Library Construction [PDF]
, 2008 This paper is to introduce a new approach to build topic digital library using concept extraction and document clustering. Firstly, documents in a special domain are automatically produced by document classification approach.
Chengzhi, Zhang, Dan, Wu
core +1 more source
Labeling Uncertainty in Multitarget Tracking [PDF]
, 2016 In multitarget tracking, the problem of track labeling (assigning labels to tracks) is an ongoing research topic. The existing literature, however, lacks an appropriate measure of uncertainty related to the assigned labels that has a sound mathematical ...
Aoki, E. H. +4 more
core +3 more sources