Kenneth Udut collected his writings spanning from 1989 to 2015 and used Latent Dirichlet Allocation (LDA) to analyze the large corpus of text. LDA is a machine learning technique that helps identify natural topic groupings within the text. He then provided the extracted topics from three different LDA models (8, 15, and 41 topics) in this chat, seeking to understand possible themes or areas of interest that are present in his writings.

Kenneth Udut collected his writings spanning from 1989 to 2015 and used Latent Dirichlet Allocation (LDA) to analyze the large corpus of text. LDA is a machine learning technique that helps identify natural topic groupings within the text. He then provided the extracted topics from three different LDA models (8, 15, and 41 topics) in this chat, seeking to understand possible themes or areas of interest that are present in his writings.

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