Results 31 to 40 of about 23,460 (215)
Deteksi Topik Tentang Tokoh Publik Politik Menggunakan Latent Dirichlet Allocation (LDA)
Twitter merupakan salah satu Social Networking yang memperbolehkan pengguna untuk mengirim dan membaca sebanyak 140 karakter. Berdasarkan survey sekitar 500 juta tweet tiap harinya yang dikirim melalui twitter. Data-data tersebut dapat berupa opini-opini publik mengenai politik, tokoh publik, makanan, dan lain sebagainya.
Faizun Nuril Hikmah +2 more
openaire +2 more sources
Profiling heterogeneity of Alzheimer's disease using white-matter impairment factors
The clinical presentation of Alzheimer's disease (AD) is not unitary as heterogeneity exists in the disease's clinical and anatomical characteristics. MRI studies have revealed that heterogeneous gray matter atrophy patterns are associated with specific ...
Xiuchao Sui, Jagath C. Rajapakse
doaj +1 more source
Graph-Sparse LDA: A Topic Model with Structured Sparsity [PDF]
Originally designed to model text, topic modeling has become a powerful tool for uncovering latent structure in domains including medicine, finance, and vision.
Adams, Ryan +2 more
core +1 more source
Topic modeling is a popular technique for clustering large collections of text documents. A variety of different types of regularization is implemented in topic modeling. In this paper, we propose a novel approach for analyzing the influence of different
Sergei Koltcov +3 more
doaj +1 more source
Analysis of US Airline Stock Performance using Latent Dirichlet Allocation (LDA)
Abstract From changes in the interest rate to the hijacking of a commercial aircraft, there are many events that may result in a fluctuation in airline stock performance. Theimpact of US airlines’ stock performance was measured following aviation related news announcements on differing topics.
Amina Issoufou Anaroua +2 more
openaire +1 more source
An Improved Supervised-LDA Text Model and Its Application [PDF]
Supervised-Latent Dirichlet Distribution Allocation (s-LDA) model cannot handle the multi-label problem and s-LDA model is not correct distribution in the classification model.The Supervised Labled-LDA(sl-LDA) model is proposed by adding a category label
XU Tengteng,HUANG Hengjun
doaj
Latent Dirichlet Allocation (LDA) for Sentiment Analysis Toward Tourism Review in Indonesia [PDF]
The tourism industry is one of foreign exchange sector, which has considerable potential development in Indonesia. Compared to other Southeast Asia countries such as Malaysia with 18 million tourists and Singapore 20 million tourists, Indonesia which is the largest Southeast Asia's country have failed to attract higher tourist numbers compared to its ...
IR Putri, R Kusumaningrum
openaire +1 more source
The application of Partial Membership Latent Dirichlet Allocation(PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts for spectral variability and ...
Zare, Alina, Zou, Sheng
core +1 more source
Sputum induction is a non-invasive method to evaluate the airway environment, particularly for asthma. RNA sequencing (RNA-seq) of sputum samples can be challenging to interpret due to the complex and heterogeneous mixtures of human cells and exogenous ...
Daniel Spakowicz +11 more
doaj +1 more source
Transparansi informasi publik dan reformasi birokrasi yang dicanangkan oleh pemerintah untuk mewujudkan clean goverment dan good goverment dapat diimplementasikan dengan melibatkan partisipasi masyarakat. Pengaduan, kritik, dan saran dari masyarakat kepada pemerintah terkait pelayanan publik yang tidak standar, menyimpang atau tidak teratur perlu ...
Ika Lailia Nur Rohmatun Nazila +1 more
openaire +1 more source

