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Machine learning used to analyze religious texts for plagiarism claims

By PulseAugur Editorial · [1 sources] ·

A programmer is using machine learning techniques, specifically K-Nearest Neighbors (KNN) and Support Vector Machines (SVM), to analyze religious texts. The goal is to determine if Joseph Smith plagiarized Ethan Smith's "View of the Hebrews" by comparing it to the Book of Mormon and the Doctrine and Covenants. The project is being developed using Python and Jupyter notebooks. AI

IMPACT This project demonstrates a novel application of machine learning for textual analysis and historical research.

RANK_REASON The item describes a research project using machine learning techniques to analyze texts. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Machine learning used to analyze religious texts for plagiarism claims

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2 / 100
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The item describes a research project using machine learning techniques to analyze texts. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Okay, the # programming project I've been working on has made no progress today, but I now have the data I need to do KNN to compare the Book of Mormon to the D

    Okay, the # programming project I've been working on has made no progress today, but I now have the data I need to do KNN to compare the Book of Mormon to the Doctrine and Covenants and View of the Hebrews to see if it's likely Joseph Smith plagiarized Ethan Smith's text. This is…

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