Latent Dirichlet Allocation for Automatic Document Categorization [PDF]
In this paper we introduce and evaluate a technique for applying latent Dirichlet allocation to supervised semantic categorization of documents. In our setup, for every category an own collection of topics is assigned, and for a labeled training document only topics from its category are sampled.
István Bíró, Jácint Szabó
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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
Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data
Topic modeling has become a fundamental technique for uncovering latent thematic structures within large collections of textual data. However, conventional models often struggle to capture the burstiness of topics.
Shadan Ghadimi +2 more
doaj +1 more source
Exact marginal inference in Latent Dirichlet Allocation
Assume we have potential "causes" $z\in Z$, which produce "events" $w$ with known probabilities $β(w|z)$. We observe $w_1,w_2,...,w_n$, what can we say about the distribution of the causes? A Bayesian estimate will assume a prior on distributions on $Z$ (we assume a Dirichlet prior) and calculate a posterior. An average over that posterior then gives a
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The Hidden Hallyu Emerged: Exploring the Key Motives of Reading Adapted K‐Webtoons of South Korea
ABSTRACT This study aims to investigate why global fans read Korean webtoons (K‐webtoons) and how their motivations vary across different genres. Previous studies have approached the Korean Wave (Hallyu) from a national perspective, emphasizing its influence and primarily discussing K‐pop and K‐drama.
Hoseok Gwak +3 more
wiley +1 more source
Explicit versus Latent Concept Models for Cross-Language Information Retrieval [PDF]
Cimiano P, Schultz A, Sizov S, Sorg P, Staab S. Explicit versus Latent Concept Models for Cross-Language Information Retrieval. In: Boutilier C, ed. IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence. Menlo Park,
Sizov, Sergej +5 more
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Empirical prior latent Dirichlet allocation model [PDF]
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.
Adewole, P.A. +2 more
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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
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
Interactive content analysis : evaluating interactive variants of non-negative Matrix Factorisation and Latent Dirichlet Allocation as qualitative content analysis aids [PDF]
This thesis addressed issues that have prevented qualitative researchers from using thematic discovery algorithms. The central hypothesis evaluated whether allowing qualitative researchers to interact with thematic discovery algorithms and incorporate ...
Bakharia, Aneesha
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