Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks by Arindam Chaudhuri.

This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments in Twitter blogs from both textual and visual content using hierarchical deep learning networks: hierarchical gated feedback recurrent neural networks (HGFRNNs). S...

Full description

Saved in:
Bibliographic Details
Main Author: Chaudhuri, Arindam (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:SpringerBriefs in Computer Science,
Springer eBook Collection.
Subjects:
Information storage and retrieval.
Database management.
Data mining.
Pattern recognition.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Login for hold information

‌

Click to view e-book

Online

Holdings details from Online
Call Number: E-Book
Copy 1 Available

Similar Items