Results 91 to 100 of about 1,033,557 (227)
Author Identification Using Latent Dirichlet Allocation
, 2018 We tackle the task of author identification at PAN 2015 through a Latent Dirichlet Allocation (LDA) model. By using this method, we take into account the vocabulary and context of words at the same time, and after a statistical process find to what extent the relations between words are given in each document; processing a set of documents by LDA ...
Hiram Calvo +2 more
openaire +3 more sources
A Country That Never Sleeps? A Web Scrapping Analysis of the 24‐h Economy Policy in Ghana
Thunderbird International Business Review, EarlyView.ABSTRACT In light of revitalizing Ghana's economic landscape through sustainable job creation underpinned by 24‐h operations across all key sectors, the National Democratic Congress proposed the ‘24‐h economy’ policy proposal. This study employs the web‐scraping technique through text mining and python codes to analyse 1820 comments from Facebook, X ...
Pius Gamette +3 more
wiley +1 more source
Analisis Sentimen Multi-Aspek terhadap Ulasan Pengguna Aplikasi M-Pajak Menggunakan Model IndoBERT
Techno.ComAplikasi M-Pajak menghadapi tantangan dalam evaluasi layanan akibat banyaknya ulasan tidak terstruktur. Penelitian ini bertujuan untuk menganalisis sentimen multi-aspek menggunakan model Deep Learning berbasis arsitektur IndoBERT yang dioptimalkan dengan
Hansen Utomo Gunawan +1 more
doaj +1 more source
Thunderbird International Business Review, EarlyView.ABSTRACT Understanding innovation policy is pivotal to enhancing national competitiveness for global value chain. This research investigates an SME‐Inclusive public‐private AI innovation network over time in the U.S. context (1991–2023), revealing how a government's demand‐based innovation policy bolsters technological prowess through isomorphism and ...
Jiyoon An
wiley +1 more source
, 2023 Examining analytical practices in Latent Dirichlet Allocation within Psychological Science: A Scoping Review ...
Lauryn Hagg (13080480) +8 more
core
Modeling Word Relatedness in Latent Dirichlet Allocation
CoRR, 2014 Standard LDA model suffers the problem that the topic assignment of each word is independent and word correlation hence is neglected. To address this problem, in this paper, we propose a model called Word Related Latent Dirichlet Allocation (WR-LDA) by incorporating word correlation into LDA topic models.
openaire +2 more sources
Profiling heterogeneity of Alzheimer's disease using white-matter impairment factors
NeuroImage: Clinical, 2018 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
Review of Latent Dirichlet Allocation Methods Usable in Voice of Customer Analysis
, 2018 The aim of the article is to detect and review existing topic modelling methods of Latent Dirichlet Allocation and their modifications usable in Voice of Customer analysis.
Lucie Sperkova
core +1 more source
Simultaneous Hierarchical Topic Selection and Initialization for Latent Nested Dirichlet Allocation
Applied Artificial IntelligenceThis paper proposes a unified framework that simultaneously addresses three key limitations of Latent Dirichlet Allocation (LDA): (1) inability to model topic correlations, (2) sensitivity to initialization, and (3) difficulty in selecting the optimal ...
Fares Alkhawaja +2 more
doaj +1 more source
The Journal of Dermatology, EarlyView.ABSTRACT Atopic dermatitis (AD), a prevalent inflammatory skin disease, significantly impairs quality of life. Pruritus manifests variably, complicating its classification and management. This study analyzed real‐world, self‐reported data from Atopiyo, Japan's largest AD smartphone application (October 2021–October 2024), to explore itch patterns ...
Atsushi Otsuka +7 more
wiley +1 more source