"Empirical models based on ancient Near Eastern literature and variations between different textual traditions have been used to lend credibility to the identification of the sources behind biblical literature and the different editorial layers. In this volume, empirical models …
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Building on the interpretive stases from the ancient Greco-Roman rhetorical tradition, this book presents a method for analyzing the types of disagreement people have over textual meaning and the lines of argument they use to resolve those disagreements in various contexts, incl…
Literary forms of argument in early China
by Gentz, Joachim, Meyer, Dirk
fromSinica Leidensia
0
Type: Book
Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it…
In the current era where lifelong learning takes the fore, higher education can no longer be regarded as an isolated trajectory within one's educational career and many students face substantial challenges in crafting their professional future. More specifically, the transition …
In Nabokov's Favorite Word Is Mauve, statistician and journalist Ben Blatt brings big data to the literary canon, exploring the wealth of fun findings that remain hidden in the works of the world's greatest writers. He assembles a database of thousands of books and hundreds of m…
In Nabokov's Favorite Word Is Mauve, statistician and journalist Ben Blatt brings big data to the literary canon, exploring the wealth of fun findings that remain hidden in the works of the world's greatest writers. He assembles a database of thousands of books and hundreds of m…
"Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text da…
The collected works
by Halliday, Michael A. K., Webster, Jonathan
fromCollected works of M.A.K. Halliday
0
Type: Book
