Results 41 to 50 of about 29,099 (159)
Investigating customer emotional experience using natural language processing (NLP) is an example of a way to obtain product insight. However, it relies on interpreting and representing the results understandably.
Hamdan Gani, Kiyoshi Tomimatsu
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Repérer et caractériser les dynamiques urbaines : l’appui nouveau des humanités numériques
This article presents the work of urban corpus creation and processing, i.e. the methodology adopted, the choices made, the problems encountered and the results obtained at these two stages.
Iris Eshkol-Taravella +4 more
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Quantum Natural Language Processing: A Comprehensive Survey
By using the quantum mechanics phenomenon, quantum computers provide a new dimension of computational power that drastically accelerates solving complex and resource-intensive problems.
Charles M. Varmantchaonala +3 more
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Editorial for the Special Issue on “Natural Language Processing and Text Mining”
Natural language processing (NLP) and Text Mining (TM) are a set of overlapping strategies working on unstructured text [...]
Pablo Gamallo, Marcos Garcia
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Transfer Learning in Natural Language Processing (NLP)
Purpose: The purpose of this study is to address the limited use of transfer learning techniques in radio frequency machine learning and to propose a customized taxonomy for radio frequency applications. The aim is to enable performance gains, improved generalization, and cost-effective training data solutions in this specific domain. Methodology:
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The Growing Impact of Natural Language Processing in Healthcare and Public Health
Natural Language Processing (NLP) is a subset of Artificial Intelligence, specifically focused on understanding and generating human language. NLP technologies are becoming more prevalent in healthcare and hold potential solutions to current problems ...
Aadit Jerfy +2 more
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Natural Language Processing approach to NLP Meta model automation [PDF]
Neuro Linguistic Programming (NLP) is one of the most utilised approaches for personality development and Meta model is one of the most important techniques in this process. Usually, when one speaks about a problem or a situation, the words that one chooses will delete, distort or generalize portions of their experience.
Amirhosseini, Mohammad Hossein +3 more
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Progress in Neural NLP: Modeling, Learning, and Reasoning
Natural language processing (NLP) is a subfield of artificial intelligence that focuses on enabling computers to understand and process human languages.
Ming Zhou +3 more
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Neural Network Technologies in Natural Language Processing and Data Mining
The rise of large language models (LLMs) has marked a significant leap in natural language processing (NLP) capabilities, enabling machines to understand, generate, and interact with human language at a sophisticated level [...]
Marija Brkić Bakarić, Maja Matetić
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Adversarial natural language processing: overview, challenges, and policy implications
The emergence of large language models has significantly expanded the use of natural language processing (NLP), even as it has heightened exposure to adversarial threats.
Laxmi Shaw +2 more
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