Name: Machine Learning Advances and Applications on Natural Language Processing (NLP) (en Inglés)
SKU: 65894837
Price: 88.69 USD
Availability: InStock
Author: Akritidis, Leonidas; Bozanis, Panayiotis

portada Machine Learning Advances and Applications on Natural Language Processing (NLP) (en Inglés)

Machine Learning Advances and Applications on Natural Language Processing (NLP) (en Inglés)

Formato

Libro Físico

Editorial

Mdpi AG

Autor

Akritidis, Leonidas; Bozanis, Panayiotis

Idioma

Inglés

N° páginas

244

Encuadernación

Tapa Dura

Dimensiones

24.4x17x2.1 cm

ISBN13

9783725851775

Machine Learning Advances and Applications on Natural Language Processing (NLP) (en Inglés)

Akritidis, Leonidas; Bozanis, Panayiotis (Autor) · Mdpi AG · Tapa Dura

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Reseña del libro "Machine Learning Advances and Applications on Natural Language Processing (NLP) (en Inglés)"

The impressive achievements of recent state-of-the-art machine learning models are revolutionizing the area of text and language applications. On the one hand, popular large language models (LLMs) have demonstrated an enormous capability in automatic and reasonable text generation. On the other hand, Transformer-based models have drastically improved the performance of other, highly important natural language tools, including traditional sentiment analyzers, machine (auto)translators, and multimedia annotators. Furthermore, such natural language processing (NLP) techniques are heavily utilized in social networks, microblogs, eCommerce systems, and numerous other disciplines.This Reprint contains 10 high-quality, peer-reviewed original research papers in the field of natural language processing. These articles have been selected with the aim of providing the research community with insights that will open up new directions in this discipline. The authors of these papers have introduced new models, methods, and techniques related to large language models, sentiment analysis applications, effective text representations, text classification and text clustering.