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Research article

First published 2018-3

Ldagibbs: A Command for Topic Modeling in Stata Using Latent Dirichlet Allocation

Carlo Schwarz

The Stata Journal: Promoting communications on statistics and Stata

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Research article

First published 2022-7

A Latent Allocation Model for Brand Awareness and Mindset Metrics

Pablo Marshall

International Journal of Market Research

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Research article

First published 2020-2

iLDA: An interactive latent Dirichlet allocation model to improve topic quality

Yezheng Liu, Fei Du, Jianshan Sun [...]

Journal of Information Science

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Research article

First published 2025-1

Sentiment analysis of users reposting Weibo under Latent Dirichlet Allocation deep learning model

Wei Ma, Yongjun Qi, Hailin Tang [...]

Journal of Computational Methods in Sciences and Engineering

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Research article

First published 2020-2

Response-adaptive treatment allocation for clinical studies with ordinal responses

Tong-Yu Lu, Ka Pui Chung, Wai-Yin Poon [...]

Statistical Methods in Medical Research

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Research article

First published 2024-10

A Comparison of Latent Semantic Analysis and Latent Dirichlet Allocation in Educational Measurement

Jordan M. Wheeler, Allan S. Cohen, Shiyu Wang

Journal of Educational and Behavioral Statistics

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Research article

First published 2014-6

Performance of LDA and DCT models

Abhishek Singh Rathore, Devshri Roy

Journal of Information Science

Open access

Research article

First published 2025-7

Emerging Focus in Chinese Literary Study (1927 to 2023): Latent Dirichlet Allocation (LDA) Based Topic Modeling Analysis

Ruikai Yuan, Si Shen, Yu Zheng

Sage Open

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Research article

First published 2020-6

Concept-LDA: Incorporating Babelfy into LDA for aspect extraction

Ekin Ekinci, Sevinç İlhan Omurca

Journal of Information Science

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Research article

First published 2015-2

LDA-AdaBoost.MH: Accelerated AdaBoost.MH based on latent Dirichlet allocation for text categorization

Bassam Al-Salemi, Mohd. Juzaiddin Ab Aziz, Shahrul Azman Noah

Journal of Information Science

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