AI RESEARCH
Computational Analysis of Semantic Connections Between Herman Melville Reading and Writing
arXiv CS.CL
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ArXi:2603.14674v1 Announce Type: new This study investigates the potential influence of Herman Melville reading on his own writings through computational semantic similarity analysis. Using documented records of books known to have been owned or read by Melville, we compare selected passages from his works with texts from his library. The methodology involves segmenting texts at both sentence level and non-overlapping 5-gram level, followed by similarity computation using BERTScore.