Könyv DEEP LEARNING METHODS FOR SENTIMENT ANALYSIS USING BERT AND GRU MODELS Najeem Olawale ADELAKUN

DEEP LEARNING METHODS FOR SENTIMENT ANALYSIS USING BERT AND GRU MODELS

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
20 924 Ft
"Deep Learning Methods for Sentiment Analysis Using BERT & GRU Models" addresses the need for advanc...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2024
oldal
88
EAN
9786208012793
ISBN
6208012791
Enbook ID
46567338
Súly
149
Méretek
150 x 220 x 6

Teljes leírás

"Deep Learning Methods for Sentiment Analysis Using BERT & GRU Models" addresses the need for advanced sentiment analysis in financial markets, where traditional tools often fail to capture complex market emotions.This book presents deep learning techniques with Gated Recurrent Unit (GRU) and Bidirectional Encoder Representations from Transformers (BERT), offering enhanced analysis of sentiment patterns in financial data. It outlines a methodical approach involving data gathering, preprocessing, downsampling, and sentiment classification, using GRU and BERT for precise results.The book is ideal for finance, data science, and AI professionals, the book provides valuable insights to improve sentiment analysis, benefiting those engaged in financial market analysis, investment strategies, and natural language processing, and aims to enhance decision-making and strategic planning.

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