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Peru GDP real-time dataset (1994-2025): Tracking three decades of revisions. [PDF]

Data Brief
Cruz JJ, Winkelried D, Torres J.
europepmc   +1 more source

Automated Text Analysis: Leveraging NLP for Categorization

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Automated Normalization and Analysis of Historical Texts

2020
The paper presents an original method for processing historical texts. A historical text is converted into its modernized equivalent by a tool called diachronic normalizer, embedded into a linguistic toolkit. The solution has a few merits. Firstly, the toolkit architecture allows for imposing the morphological constraints on diachronization rules ...
Pawel Skórzewski, Krzysztof Jassem, Filip Gralinski   +2 more
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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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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 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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