Results 171 to 180 of about 23,460 (215)

Patient Perspectives on Open-Door Policies in Psychiatry: Mixed Methods Study.

open access: yesJ Med Internet Res
Liwinski T   +8 more
europepmc   +1 more source

Understanding Gender-Specific Daily Care Preferences: Topic Modeling Study.

open access: yesJ Med Internet Res
Woo K   +7 more
europepmc   +1 more source

User Satisfaction With Pregnancy Management Apps in Mainland China: User-Generated Content Analysis and Text Mining Study.

open access: yesJ Med Internet Res
Jiao X   +12 more
europepmc   +1 more source
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Latent Dirichlet Allocation (LDA) for Anomaly Detection in Avionics Networks

2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), 2020
Latent Dirichlet Allocation (LDA) and Variational Inference are applied in near real-time to detect anomalies in ground vehicle network traffic for a ground vehicle network. The technical approach, that utilizes the Natural Language Processing (NLP) technique to detect potential malicious attacks and network configuration issues, is described and the ...
Adam Thornton   +2 more
openaire   +1 more source

Perspektif Opini Pelanggan pada Aplikasi MyPertamina menggunakan Metode Latent Dirichlet Allocation (LDA)

PROSIDING SEMINAR NASIONAL SAINS DATA, 2023
Fluctuations in world oil prices are one of the major factors affecting the country's economic growth, including Indonesia. The government issued a fuel subsidy program, but the program was used by the wrong target and caused the government budget to swell. The solution is to provide programs to the right targets, the government created the MyPertamina
Mutiara Afifah   +5 more
openaire   +1 more source

A framework of Urdu topic modeling using latent dirichlet allocation (LDA)

2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), 2018
In this age, text mining research community has given an immense attention towards the development of text mining tools, techniques and models. Topic modeling is an area of Text Mining which is being used in various areas e.g. summarization, searching, semantics, and many other.
Khadija Shakeel   +3 more
openaire   +1 more source

Augmented Latent Dirichlet Allocation (Lda) Topic Model with Gaussian Mixture Topics

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Latent Dirichlet allocation (LDA) is a statistical model that is often used to discover topics or themes in a large collection of documents. In the LDA model, topics are modeled as discrete distributions over a finite vocabulary of words. The LDA is also a popular choice to model other datasets spanning a discrete domain, such as population genetics ...
Kedar S. Prabhudesai   +3 more
openaire   +1 more source

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