Results 81 to 90 of about 34,920 (220)
Practical Collapsed Stochastic Variational Inference for the HDP [PDF]
Recent advances have made it feasible to apply the stochastic variational paradigm to a collapsed representation of latent Dirichlet allocation (LDA).
Bleier, Arnim
core
Exploring Latent Semantic Factors to Find Useful Product Reviews
Online reviews provided by consumers are a valuable asset for e-Commerce platforms, influencing potential consumers in making purchasing decisions. However, these reviews are of varying quality, with the useful ones buried deep within a heap of non ...
Mukherjee, Subhabrata +2 more
core +1 more source
Empirical prior latent Dirichlet allocation model
In this study, empirical prior Dirichlet allocation (epLDA) model that uses latent semantic indexing framework to derive the priors required for topics computation from data is presented. The parameters of the priors so obtained are related to the parameters of the conventional LDA model using exponential function.
Adegoke, M.A. +2 more
openaire +3 more sources
Topic-weak-correlated Latent Dirichlet allocation [PDF]
Latent Dirichlet allocation (LDA) has been widely used for analyzing large text corpora. In this paper we propose the topic-weak-correlated LDA (TWC-LDA) for topic modeling, which constrains different topics to be weak-correlated. This is technically achieved by placing a special prior over the topic-word distributions. Reducing the overlapping between
Yimin Tan, Zhijian Ou
openaire +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Extractive summarization of Malayalam documents using latent Dirichlet allocation: An experience
Automatic text summarization (ATS) extracts information from a source text and presents it to the user in a condensed form while preserving its primary content.
Kondath Manju +2 more
doaj +1 more source
Tensor decompositions for learning latent variable models [PDF]
This work considers a computationally and statistically efficient parameter estimation method for a wide class of latent variable models---including Gaussian mixture models, hidden Markov models, and latent Dirichlet allocation---which exploits a certain
Anandkumar, Anima +4 more
core +5 more sources
Local labor market frictions and platform‐based entrepreneurship
Abstract Research Summary Building on prior research about the heterogeneous impact of labor shocks on individuals' propensity to start businesses, we explore how local labor market frictions affect individuals' selection into platform‐based entrepreneurship.
Ruiqing Cao, Yifan Lyu
wiley +1 more source
A Country That Never Sleeps? A Web Scrapping Analysis of the 24‐h Economy Policy in Ghana
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
Generative AI in Financial Reporting
ABSTRACT Generative artificial intelligence (GAI) will likely alter many aspects of the financial reporting process and spawn a deep stream of academic research. We take an early step by examining the extent to which firms have begun using GAI in one important part of the reporting process: writing disclosures.
ELIZABETH BLANKESPOOR +2 more
wiley +1 more source

