Results 101 to 110 of about 1,075,906 (163)

Behavior‐Oriented Inference of Trip Purposes and Urban Mobility Structures From Dockless Bike‐Sharing Data

Transactions in GIS, Volume 30, Issue 7, November 2026.
ABSTRACT Dockless bike‐sharing systems generate large volumes of passively collected mobility data, creating new opportunities for understanding urban activity patterns and travel behavior. However, inferring trip purposes from dockless bike‐sharing data remains challenging due to the absence of explicit activity labels and the complexity of mixed‐use ...
Sirui Wei, Zihan Kan, Yan Liu, Haiyan Hao, Dong Liu   +4 more
wiley   +1 more source

Sequential Latent Dirichlet Allocation

, 2016
Understanding how topics within a document evolve over the structure of the document is an interesting and potentially important problem in exploratory and predictive text analytics.
Buntine, Wray, Jin, Huidong (Warren), Chen, Changyou, Du, Lan   +3 more
core   +1 more source

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

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   +1 more source

Detection the topics of Facebook posts using text mining with Latent Dirichlet Allocation (LDA) algorithm

Ibn Al-Haitham Journal for Pure and Applied Sciences
The development of artificial intelligence technologies has led to their massive integration in various fields, including daily life. Text data plays a pivotal role in the world of artificial intelligence, especially in machine learning, allowing ...
Shahlaa Mashhadani
doaj   +1 more source

Optimasi LDA untuk Analisis Keluhan Nasabah Perbankan dengan Grid Search

Jurnal Teknologi dan Sistem Informasi
Penelitian ini bertujuan untuk menganalisis topik pada data keluhan nasabah perbankan menggunakan metode Latent Dirichlet Allocation (LDA) yang disempurnakan dengan penyetelan parameter menggunakan Grid Search. Dataset berasal dari situs ConsumerFinance.
Rika Afriyani, Eka Angga Laksana
doaj   +1 more source

Implementation of Latent Dirichlet Allocation (LDA) to Identify National Pride in YouTube Comments

Indonesian Journal of Data and Science
Sports can trigger a strong sense of national pride, a psychological factor that contributes positively to collective behavior and societal cohesion. One key source of this pride is the success of athletes in prestigious international competitions. With the growing use of the internet, expressions of national pride are increasingly visible on social ...
Rizal Kurniawan, Amin Akbar, Rinaldi Rinaldi, Aflah Zakinov Irta   +3 more
openaire   +1 more source

Training Algorithms for Multilingual Latent Dirichlet Allocation [PDF]

, 2016
Multilingual Latent Dirichlet Allocation (MLDA) is an extension of Latent Dirichlet Allocation (LDA) in a multilingual setting, which aims to discover aligned latent topic structures of a parallel corpus.
Jin, Haibo
core  

Dirichlet mixture allocation for multiclass document collections modeling

, 2009
Topic model, Latent Dirichlet Allocation (LDA), is an effective tool for statistical analysis of large collections of documents. In LDA, each document is modeled as a mixture of topics and the topic proportions are generated from the unimodal Dirichlet ...
Wei Bian, Dacheng Tao, Bian, W, Tao, D
core   +1 more source

A Comparative Study of Topic Modelling Approaches for User-generated Point of Interest Data

Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA
This study aims to enhance urban planning and management by harnessing the power of machine learning (ML) and big data. We focus on Urban Functional Zones (UFZs), the fundamental units for human socio-economic activities.
Ravi Satyappa Dabbanavar, Arindam Biswas
doaj   +1 more source

Analisis Sentimen Web Novel Menggunakan Metode Latent Dirichlet Allocation (LDA)

Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Web novels have gained popularity in recent years as a form of literature that is published and consumed online via specialized platforms. User generated comments and reviews play an important role in the web novel platform, providing valuable insight into reader sentiment and feedback.
null Dewi Rosmala, null Ryan Cahyadi N
openaire   +1 more source