One of the major concerns in contemporary Bible scholarship is the problem of dating biblical texts. Our aim is to use an
algorithmic approach known as supervised machine learning to utilize linguistic features of a biblical text to assign it either to the category
of Early Biblical Hebrew or Late Biblical Hebrew, thereby informing us as to whether the text was written before or after the Babylonian
exile. In addition to using this methodology to classify every book in the Bible, we perform a detailed case study on the book of Joel and
demonstrate how our approach can be used to solve the long-debated question as to whether the book was written in the pre-exilic or postexilic
period. We also use the algorithm to individually classify each psalm in the book of Psalms , as most scholars believe that the book of
Psalms was written over a long period of time by a variety of authors.
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