Los costos de envío se calcularán en base a esta dirección en todo el sitio.
Selecciona tu país
América
Argentina
Brasil
Canadá
Chile
Colombia
Costa Rica
Ecuador
El Salvador
Estados Unidos
México
Perú
República Dominicana
Uruguay
Europa
Alemania
Austria
Bélgica
Croacia
Dinamarca
Eslovaquia
Eslovenia
España
Finlandia
Francia
Grecia
Hungría
Irlanda
Italia
Letonia
Malta
Noruega
Países Bajos
Polonia
Portugal
Reino Unido
República Checa
Serbia
Suecia
Suiza
Resto del mundo


Social Network Analytics: Empowering Data Engineering with Deep Learning and Large Language Models (en Inglés)
Pradeep Kumar Roy (Autor) · CRC Press · Tapa Dura
Quedan más de 100 unidades
$ 161.38This book presents the cutting-edge techniques of social network analytics, focusing on both the positive and negative aspects of social media. While platforms like X, Facebook, and LinkedIn serve as powerful tools for product promotion and crisis management, they also present challenges such as the spread of misinformation, cyberbullying, and hateful content. The book explores these dimensions while highlighting the advancements in social media analytics, specifically through the lens of emerging technologies like AI, machine learning, and deep learning. This book is intended for data engineers, researchers, practitioners, and students in the fields of data science, social computing, and artificial intelligence.
Explores state-of-the-art deep learning methodologies tailored for social network analysis, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Graph Neural Networks (GNNs) to uncover hidden patterns and trends within social media data. Examines the application of large language models, such as GPT (Generative Pre-trained Transformer), in analysing and generating text-based content. Readers will gain practical insights into using these models for content generation, summarisation, and classification tasks. Provides detailed coverage of sentiment analysis techniques, enabling readers to extract valuable insights from user-generated content, helping organisations better understand public opinion. Explores methodologies for detecting communities within social networks, uncovering hidden structures, relationships, and influential nodes or communities. Offers insights into predicting user behaviour on social media platforms, including engagement, preferences, and click-through rates, equipping readers with tools to drive informed decision-making.¿Tienes una pregunta sobre el libro? Inicia sesión para poder agregar tu propia pregunta.

