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Specifically, the results suggest that verbal knowledge is less proximal to the reading comprehension of students who have become proficient in the use of text processing and reading comprehension strategies.
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As you can imagine, we deal with a huge amount of text processing.
Automatic text classification can complete the work of text processing effectively.
Travers and Haas, and Chapman et al. separately described the use of free-text processing for chief complaints in emergency department narrative reports [ 28, 29], ushering the use of NLP in advanced disease surveillance.
From practical applications like NASA's advanced robot navigation for Mars landings and Google's use of AI for text processing in its search engine, to more exotic concepts like "flocking and swarming," AI is increasingly being adapted for complex and challenging domains.
Geisinger investigators provided full NLP extraction of clinical terms using their internal text processing workflow for 5466 patients.
The greatest hurdle to the more widespread use of text is the technological challenge to automate or semi-automate processing.
From the clinical notes, we extracted over 7.8 billion clinical terms using a custom text processing workflow which recognizes present, non-negated mentions of terms from 22 clinically relevant ontologies (SNOMED, Human Disease Ontology, MedDRA among others).
Use of text descriptions.
Avoid over use of text formatting elements.
Dump selected fields of the database in a tabular format suitable for reporting (e.g., using traditional Unix text processing tools) or importing into relational databases.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com