Automatic Text Analysis refers to the process of automatically indexing and classifying text based on predefined conceptual principles, such as the deep structure of subject indexing languages, to extract meaningful information from documents.
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Overview · Presents recent developments in automatic text analysis · Overview of linguistic modeling · Includes chaptes on cognitive modeling and visual systems ...
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This book contributes to this task. It collects contributions of authors from a multidisciplinary area who focus on the topic of automatic text analysis.
Automated and computer-assisted methods of extracting, organizing, understanding, conceptualizing, and consuming knowledge from massive quantities of ...
As a core component of automatic text analysis, we present a cognitive theory of inference building. According to this theory, textual inferences are the ...
Jun 7, 2023 · Automated text analysis can capture skills, personality, and other traits, primarily by using natural language processing, which has a long ...
ATA has been defined as a set of methods that automatically extract statistically manipulable information about the presence, intensity, or frequency of ...
Oct 8, 2024 · For example, they are used to generate text, automatically translate from one language to another, classify text documents, and even answer ...
May 17, 2024 · Unlock the power of text analytics with advanced techniques like text mining, sentiment analysis, named entity recognition, and text classification.
Mehler, Alexander, 1967- ; ; Köhler, Reinhard.; SpringerLink (Online service) ; ; c2007 ;. Aspects of automatic text analysis Available Online.