Results 101 to 110 of about 13,047 (256)
Methods in Ecology and Evolution, EarlyView.Abstract Understanding the drivers of change in communities is a major goal of paleoecology and community ecology, but statistical inference from multivariate time series is challenged by relative (rather than absolute) abundance data, observation uncertainty and missing data due to uneven sampling through time.
Quinn Asena +5 more
wiley +1 more source
DETEKSI TOPIK FASHION PADA TWITTER DENGAN LATENT DIRICHLET ALLOCATION
, 2018 Bagi orang-orang yang bergerak di bidang fashion mengetahui tren fashion adalah hal yang penting. Salah satu cara untuk mengetahui tren adalah dengan mendeteksi topik mengenai fashion yang dibicarakan di media sosial.
Yupa Umigi Al-khairi +2 more
core +1 more source
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
Semantic Allocation of Satellite Images using Latent Dirichlet Allocation
, 2008 Remote sensing images can be annotated semantically by using Latent Dirichlet ...
Maitre, Henri +2 more
core
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
Business Ethics, the Environment &Responsibility, EarlyView.ABSTRACT This paper examines the current state of the art regarding the contribution of Higher Education Institutions (HEIs) to the achievement of the Sustainable Development Goals (SDGs). We conducted a Systematic Literature Review Analysis (SLRA), which integrates a traditional Systematic Literature Review (SLR) with Bibliographic Analysis (BA), on a
Pasquale Latella, Stefania Veltri
wiley +1 more source
Analyzing Clustered Latent Dirichlet Allocation
, 2016 Dynamic Topic Models (DTM) are a way to extract time-variant information from a collection of documents. The only available implementation of this is slow, taking days to process a corpus of 533,588 documents.
Gropp, Christopher
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
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 +2 more sources
Reliability measures in knowledge structure theory
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract In knowledge structure theory (KST) framework, this study evaluates the reliability of knowledge state estimation by introducing two key measures: the expected accuracy rate and the expected discrepancy. The accuracy rate quantifies the likelihood that the estimated knowledge state aligns with the true state, while the expected discrepancy ...
Debora de Chiusole +3 more
wiley +1 more source