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Automated Text Analysis

2021
This chapter examines automated text analysis (ATA), which describes the different methodologies that can be applied in order to perform text analysis with the use of computer software. ATA is a computer-assisted method for analysing text, whenever the analysis would be prohibitively labour-intensive due to the volume of texts to be analysed.
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Automated analysis of instructional text

Artificial Intelligence, 1983
Abstract The development of a capability for automated processing of natural language text is a long-range goal of artificial intelligence. This paper discusses an investigation into the issues involved in the comprehension of descriptive, as opposed to illustrative, textual material. The comprehension process is viewed as the conversion of knowledge
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Methods of Automated Text Analysis

2015
Th is chapter describes methods of analyzing the structures, functions, and representations of text. Th e lens is on the text, but we will selectively identify salient implications for cognitive processes and educational practice. Th e primary emphasis is also on automated methods of text analysis.
Arthur C. Graesser   +2 more
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A text analytics framework for automated communication pattern analysis

Information & Management, 2020
Abstract Human-coding reliant conversation analysis methods are ineffective when analyzing large volumes of data. In this paper, we propose a text analytics framework for automated conversation pattern analysis. This framework first extracts speech acts (i.e., activities) from conversation logs, and then analyzes their flow through frequent pattern ...
Shaokun Fan, Noyan Ilk
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Automated text mining for requirements analysis of policy documents

2013 21st IEEE International Requirements Engineering Conference (RE), 2013
Businesses and organizations in jurisdictions around the world are required by law to provide their customers and users with information about their business practices in the form of policy documents. Requirements engineers analyze these documents as sources of requirements, but this analysis is a time-consuming and mostly manual process.
Aaron K. Massey   +3 more
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Automated analysis of medical text. II. Cognitive strategy

Journal of Medical Systems, 1991
In a previous paper, the authors described three paradigms applicable to automated medical text analysis. In this paper, the relative importance of the three paradigms is discussed, viz. the relative value of the linguistic word categorization, the semantic paradigm, and the medical fact delineation.
E R, Gabrieli, D J, Speth
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Human vs. Automated Text Analysis

Proceedings of the 27th ACM Conference on Hypertext and Social Media, 2016
Automated text analysis (ATA) has been a widely used tool for determining the sentiment of writing samples. However, it is unclear how ATA compares to human ratings of text when estimating affect. There are costs and benefits associated with each method, and comparing the two approaches will help determine which one provides the most useful and ...
Kathryn Schaefer Ziemer, Gizem Korkmaz
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Automated analysis of medical text I. Clue gathering

Journal of Medical Systems, 1990
Clinical practice of medicine is highly information-intensive. At the bedside, past experience is the primary justification of reasoning and decisions. This past medical experience is an amalgamation of textbook information and personal experience. During the last 2-3 decades, both of these major sources of clinical information have appeared less and ...
E R, Gabrieli, D J, Speth
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Automated approach for rhythm analysis of french literary texts

Proceedings of 15th Conference of Open Innovations Association FRUCT, 2014
Rhythm analysis is widely used for texts in a poetic form to determine the individual style of the author, but rarely used in the analysis of prose due to technical problems and human factor influence. To overcome these issues we propose an automated approach that involves the development and use of specialized software for analyzing French literary ...
Elena I. Boychuk   +3 more
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Automated Text Analysis: Cautionary Tales

Literary and Linguistic Computing, 1994
Dans cet article l'A. considere les pieges et les tentations de l'analyse automatique des grands corpus: taille de l'echantillon, probleme du rappel, analyse de ce qui est facile a trouver... Il suggere que les outils de traitement automatique des textes doivent etre utilises en prenant conscience de leurs limites et de ne pas hesiter a avoir recours ...
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