Confidence measure for speech indexing based on Latent Dirichlet Allocation
, 2012 International audienceThis paper presents a confidence measure for speech indexing that aims to predict the indexing quality of a speech document for a Spoken Document Retrieval (SDR) task. We first introduce how the indexing quality of a speech document
Senay, Grégory, Linarès, Georges
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Word features for latent Dirichlet allocation
, 2010 We extend Latent Dirichlet Allocation (LDA) by explicitly allowing for the en-coding of side information in the distribution over words. This results in a variety of new capabilities, such as improved estimates for infrequently occurring words, as well ...
Shravan Narayanamurthy +4 more
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Latent Dirichlet Allocation (LDA) Approximation Analysis of Financial-Related Text Messages
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2023 openaire +1 more source
Analyzing ESG News Articles and Research Papers through LDA (Latent Dirichlet Allocation)
Asia-pacific Journal of Convergent Research Interchange, 2023 Shi Bowen, Yunkyung Min
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Latent Dirichlet Allocation for structured insurance data
This article explores the application of Latent Dirichlet Allocation (LDA) to structured tabular insurance data. LDA is a probabilistic topic modelling approach initially developed in Natural Language Processing (NLP) to uncover the underlying structure ...
Hainaut, Donatien, Jamotton, Charlotte
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Latent Dirichlet Allocation (LDA) for Anomaly Detection in Avionics Networks
2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), 2020Latent Dirichlet Allocation (LDA) and Variational Inference are applied in near real-time to detect anomalies in ground vehicle network traffic for a ground vehicle network. The technical approach, that utilizes the Natural Language Processing (NLP) technique to detect potential malicious attacks and network configuration issues, is described and the ...
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Augmented Latent Dirichlet Allocation (Lda) Topic Model With Gaussian Mixture Topics
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