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Natural Language Processing (NLP) for Threat Intelligence
The integration of NLP into threat intelligence systems offers numerous advantages. Automated analysis significantly reduces the time and effort required by human analysts, allowing them to focus on higher-level strategic tasks. Besides, NLP models can process information in real-time, providing timely alerts and insights that are essential for ...Rajesh Kanna Rajendran, B. Tulasi
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Natural Language Processing (NLP) In Business Intelligence
Modern day businesses face the challenge of analyzing and deriving actionable insights from the huge amount of data generated from various sources, including social media interactions. Natural Language Processing (NLP) has emerged as a pivotal technology in addressing this need across multiple sectors, by enabling the processing and understanding of ...openaire +1 more source
Natural Language Processing (NLP): An Introduction
2022Roman Egger, Enes Gokce
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Text Substitution in Natural Language Processing (NLP)
This article explores the often-overlooked yet critical step of text substitution in natural language processing (NLP). Covering contractions, HTML/XML cleaning, unit standardisation, and domain-specific preprocessing, it demonstrates how substitution enhances model efficiency and semantic clarity.openaire +1 more source
Primary progressive aphasia and the evolving neurology of the language network
Nature Reviews Neurology, 2014M-Marsel Mesulam +2 more
exaly
The Neurocognition of Developmental Disorders of Language
Annual Review of Psychology, 2020Michael T Ullman +2 more
exaly
Language bias in randomised controlled trials published in English and German
Lancet, The, 1997Matthias Egger
exaly

