Results 101 to 110 of about 970,151 (199)

Analisis Sentimen Multi-Aspek terhadap Ulasan Pengguna Aplikasi M-Pajak Menggunakan Model IndoBERT

Techno.Com
Aplikasi 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, Fergie Joanda Kaunang   +1 more
doaj   +1 more source

Semantic Allocation of Satellite Images using Latent Dirichlet Allocation [PDF]

, 2008
Remote sensing images can be annotated semantically by using Latent Dirichlet ...
Maitre, Henri, Lienou, Marie, Datcu, Mihai   +2 more
core  

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

Weathering the storm: Most maternal and environmental drivers of individual reproductive success do not scale up to population recruitment in a large herbivore

Journal of Animal Ecology, EarlyView.
Using 18 years of data on eastern grey kangaroos, we show that drivers of individual reproductive success often do not scale up to population recruitment. Birth asynchrony could buffer population recruitment against environmental variability, such that variables affecting individual reproduction have little impact at the population level.
Rachel Bergeron, Richard P. Duncan, David M. Forsyth, Wendy J. King, Marco Festa‐Bianchet   +4 more
wiley   +1 more source

Simultaneous Hierarchical Topic Selection and Initialization for Latent Nested Dirichlet Allocation

Applied Artificial Intelligence
This 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, Manar Amayri, Nizar Bouguila   +2 more
doaj   +1 more source

Measuring New Venture Legitimacy: A Multi‐dimensional Approach Using Computational Textual Analysis

British Journal of Management, EarlyView.
Abstract Legitimacy is critical for the growth, survival and performance of ventures, yet efforts to measure legitimacy empirically typically focus on a single dimension of this multi‐dimensional construct. In this article, we develop a multi‐dimensional framework for measuring legitimacy using computational text analysis.
Ali Ghods, Antonin Ricard, Bénédicte Aldebert, Eric W. Schoon   +3 more
wiley   +1 more source

The JAE's Positioning Within Agricultural Economics: A Text‐Based Analysis

Journal of Agricultural Economics, EarlyView.
ABSTRACT On the occasion of the centenary of the Agricultural Economics Society, this study investigates the positioning of the Journal of Agricultural Economics (JAE) within the broader landscape of the main agricultural economics journals. We employ a quantitative text analysis approach, estimating a Structural Topic Model (STM) on a unique corpus of
Leonardo Cei, Gianluca Stefani, Edi Defrancesco   +2 more
wiley   +1 more source

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

Asia-Pacific Journal of Financial Studies, EarlyView.
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley   +1 more source

Covid-19 Tweets Sentiment Analysis with Latent Dirichlet Allocation Topic Modeling

The Owl, 2022
Analysis of Covid-19  vaccine tweets has been an extensive focus in understanding user trends throughout the pandemic. This project concentrated on the development of a Latent Dirichlet Allocation (LDA)  model along with sentiment analysis to better ...
Akhil Shiju
doaj  

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