TextDescriptives: A Python package for calculating a large variety of metrics from text
Lasse Hansen, Ludvig Renbo Olsen, Kenneth Enevoldsen

TL;DR
TextDescriptives is a Python package that simplifies the calculation of diverse text metrics, facilitating linguistic analysis and feature extraction for various applications.
Contribution
It introduces a comprehensive Python tool built on spaCy for calculating numerous text metrics, enhancing text analysis workflows.
Findings
Used for analyzing clinical text stability
Generated features for neuropsychiatric prediction
Analyzed linguistic goals of primary students
Abstract
TextDescriptives is a Python package for calculating a large variety of metrics from text. It is built on top of spaCy and can be easily integrated into existing workflows. The package has already been used for analysing the linguistic stability of clinical texts, creating features for predicting neuropsychiatric conditions, and analysing linguistic goals of primary school students. This paper describes the package and its features.
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Taxonomy
TopicsComputational Physics and Python Applications · Text Readability and Simplification
