Methods of Automated Text Analysis

Authored by: Arthur C. Graesser , Danielle S. McNamara , Max M. Louwerse

Handbook of Reading Research

Print publication date:  October  2010
Online publication date:  March  2011

Print ISBN: 9780805853421
eBook ISBN: 9780203840412
Adobe ISBN: 9781136891427

10.4324/9780203840412.ch2

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Abstract

This chapter describes methods of analyzing the structures, functions, and representations of text. The lens is on the text, but we will selectively identify salient implications for cognitive processes and educational practice. The primary emphasis is also on automated methods of text analysis. That is, a computer system receives the text, performs processes that implement computational algorithms, and produces a text analysis on various levels of language and discourse structure. However, sometimes there are theoretical components of text that cannot be handled by computers so it is necessary to have human experts annotate or structure the text systematically. Human annotation schemes are identified in cases when it is beyond the scope of computer technologies to perform such text processing mechanisms.

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