Results 31 to 40 of about 64,982 (183)
Cogent Business & Management, 2021 This study explores user-generated content (UGC) of the hotel sector in the city of Florianópolis-SC, Brazil, to identify the quality attributes of services and determine the polarity of the expressed feelings in the reviews of each attribute.
Clérito Kaveski Peres +1 more
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Implementasi Latent Dirichlet Allocation (LDA) untuk Klasterisasi Cerita Berbahasa Bali
Jurnal Teknologi Informasi dan Ilmu Komputer, 2021 Cerita-cerita berbahasa Bali memiliki topik yang beragam namun memuat nilai kearifan lokal yang perlu untuk dilestarikan. Jika cerita-cerita tersebut dapat dikelompokkan berdasarkan topik, tentu akan sangat memudahkan bagi para pembacanya dalam memilih ...
Ngurah Agus Sanjaya ER
doaj +1 more source
Analisis Topik Tagar Covidindonesia pada Instagram Menggunakan Latent Dirichlet Allocation
JISKA (Jurnal Informatika Sunan Kalijaga), 2022 In this era, technology is increasingly sophisticated, this is evidenced by the number of people using the internet via cell phones, laptops, and other communication tools.
Kevin Rafi Adjie Putra Santoso +3 more
doaj +1 more source
Journal of Education in Science, Environment and HealthUnderstanding the nature of science is an essential component of scientific literacy. In a technology and media-oriented environment, text-processing algorithms and various artificial learning approaches are crucial and continue to develop.
Yusuf Kartal, Munise Seckin-Kapucu
doaj +1 more source
Information Extraction from Electronic Medical Records using Natural Language Processing Techniques
Journal of Applied Sciences and Environmental Management, 2020 Patients share key information about their health with medical practitioners during clinic consultations. These key information may include their past medications and allergies, current situations/issues, and expectations.
E. Ogbuju, G.N. Obunadike
doaj +1 more source
Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy Back [PDF]
arXiv, 2020 Topic models are widely used to discover the latent representation of a set of documents. The two canonical models are latent Dirichlet allocation, and Gaussian latent Dirichlet allocation, where the former uses multinomial distributions over words, and the latter uses multivariate Gaussian distributions over pre-trained word embedding vectors as the ...
arxiv
Energies, 2023 This paper presents a comprehensive analysis of public procurement documents in the domain of university buildings taken from the e-procurement platform, particularly focusing on their transformation towards more efficient energy consumption.
Anna Pamula +3 more
doaj +1 more source
JMIR Medical Informatics, 2022 BackgroundHealth care organizations are collecting increasing volumes of clinical text data. Topic models are a class of unsupervised machine learning algorithms for discovering latent thematic patterns in these large unstructured
Christopher Meaney +4 more
doaj +1 more source
Latent Dirichlet Allocation Based Organisation of Broadcast Media Archives for Deep Neural Network Adaptation [PDF]
, 2015 This paper presents a new method for the discovery of latent domains in diverse speech data, for the use of adaptation of Deep Neural Networks (DNNs) for Automatic Speech Recognition. Our work focuses on transcription of multi-genre broadcast media, which is often only categorised broadly in terms of high level genres such as sports, news, documentary,
arxiv +1 more source
Unsupervised representation learning with recognition-parametrised probabilistic models [PDF]
arXiv, 2022 We introduce a new approach to probabilistic unsupervised learning based on the recognition-parametrised model (RPM): a normalised semi-parametric hypothesis class for joint distributions over observed and latent variables. Under the key assumption that observations are conditionally independent given latents, the RPM combines parametric prior and ...
arxiv