Results 1 to 10 of about 23,068 (215)

LDA filter: A Latent Dirichlet Allocation preprocess method for Weka.

PLoS ONE, 2020
This work presents an alternative method to represent documents based on LDA (Latent Dirichlet Allocation) and how it affects to classification algorithms, in comparison to common text representation.
P Celard, A Seara Vieira, E L Iglesias, L Borrajo   +3 more
doaj   +2 more sources

Implementasi Latent Dirichlet Allocation (LDA) untuk Klasterisasi Cerita Berbahasa Bali [PDF]

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   +2 more sources

LATENT DIRICHLET ALLOCATION (LDA) METHOD ANALYSIS ABOUT COVID-19 VACCINE ON TWITTER SOCIAL MEDIA

Barekeng, 2022
Twitter is one social media that often provides much information for its users, one of which is information regarding the COVID-19 vaccination. This study aimed to explore and find out what topics are often discussed on Twitter social media. One of which
Happy Alyzhya Haay, Adi Setiawan
doaj   +3 more sources

Latent DIRICHLET allocation (LDA) based information modelling on BLOCKCHAIN technology: a review of trends and research patterns used in integration. [PDF]

Multimed Tools Appl, 2022
Sharma C, Sharma S, Sakshi.
europepmc   +3 more sources

Estimating News Coverage Patterns using Latent Dirichlet Allocation (LDA)

Sukkur IBA Journal of Emerging Technologies, 2018
The growing rate of unstructured textual data has made an open challenge for the knowledge discovery, which aims extracting desired information from large collection of data.
Naeem Ahmed Mahoto
doaj   +3 more sources

Improving optimal prompt learning through multilayer fusion and latent dirichlet allocation [PDF]

Frontiers in Robotics and AI
Recent advances in few-shot learning have demonstrated the potential of prompt-based techniques with pre-trained models, eliminating the need for extensive fine-tuning. However, challenges such as obtaining optimal prompts and addressing data scarcity in
Qinghua Chen, Qinghua Chen, Qinghua Chen, Jessica Korneder, Osamah A. Rawashdeh, Yanfeng Wang, Wing-Yue Geoffrey Louie   +6 more
doaj   +2 more sources

Latent Dirichlet Allocation (LDA) topic models for Space Syntax studies on spatial experience [PDF]

City, Territory and Architecture
Spatial experience has been extensively researched in various fields, with Space Syntax being one of the most widely used methodologies. Multiple Space Syntax techniques have been developed and used to quantitively examine the relationship between ...
Ju Hyun Lee, Michael J. Ostwald
doaj   +2 more sources

Trends and methods in intensive care unit (ICU) research using machine learning: latent dirichlet allocation (LDA)-based thematic literature review. [PDF]

BMC Med Inform Decis Mak
Topaloğlu D, Polat O.
europepmc   +3 more sources

Application of Latent Dirichlet Allocation (LDA) for clustering financial tweets [PDF]

E3S Web of Conferences, 2021
Sentiment classification is one of the hottest research areas among the Natural Language Processing (NLP) topics. While it aims to detect sentiment polarity and classification of the given opinion, requires a large number of aspect extractions.
Fatima-Zahrae Sifi, Wafae Sabbar, Amal El Mzabi   +2 more
doaj   +1 more source

The Latent Dirichlet Allocation (LDA) generative model for automating process of rendering judicial decisions [PDF]

E3S Web of Conferences, 2023
The Latent Dirichlet Allocation (LDA) generative model is widely used in statistical analysis and machine learning due to its ability to model the probabilities of multidimensional categorical data, such as the frequencies of different categories or the ...
Pylov Petr, Maitak Roman, Protodyakonov Andrey   +2 more
doaj   +1 more source