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Text Processing: Large Digital Text Collections Analysis
This lecture explores the processing of large digital text collections in the field of Digital Humanities. It covers the extraction of hidden regularities and structures from massive textual objects, the distinction between Humanities Computing and Computational Linguistics, the challenges posed by very large textual objects, and the use of text processing pipelines. The lecture delves into the significance of projects like Project Gutenberg and Wikisource, the concept of text reuse, and the application of TF-IDF, Latent Semantic Analysis, and Topic Modeling in analyzing text data.