Hallo! Tracked shipping to Netherlands with Delivery Duty Paid for just €7 

Ship to
Netherlands
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Textual Emotion Classification Using Deep Broad Learning (Socio-Affective Computing, 11)
Type
Physical Book
Publisher
Author
Language
English
Pages
170
Format
Hardcover
ISBN13
9783031677175
Edition No.
2024th

Textual Emotion Classification Using Deep Broad Learning (Socio-Affective Computing, 11)

Sancheng Peng; Lihong Cao (Author) · Springer · Hardcover

Textual Emotion Classification Using Deep Broad Learning (Socio-Affective Computing, 11) - Sancheng Peng; Lihong Cao

Cheaper New Book Imported to Netherlands
Delivery: 11 Sep - 18 Sep Shipping: 13 to 17 business days.
€ 155,63
Faster New Book Imported to Netherlands
Delivery: 01 Sep - 03 Sep Shipping: 5 to 6 business days.
€ 208,01
Import costs and 9% BTW included in the price ✅
€ 155,63

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Textual Emotion Classification Using Deep Broad Learning (Socio-Affective Computing, 11)"

In this book, the authors systematically and comprehensively discuss textual emotion classification by using deep broad learning. Since broad learning possesses certain advantages such as simple network structure, short training time and strong generalization ability, it is a new and promising framework for textual emotion classification in artificial intelligence. As a result, how to combine deep and broad learning has become a new trend of textual emotion classification, a booming topic in both academia and industry. For a better understanding, both quantitative and qualitative results are present in figures, tables, or other suitable formats to give the readers the broad picture of this topic along with unique insights of common sense and technical details, and to pave a solid ground for their forthcoming research or industry applications. In a progressive manner, the readers will gain exclusive knowledge in textual emotion classification using deep broad learning and be inspired to further investigate this underexplored domain. With no other similar book existing in the literature, the authors aim to make the book self-contained for newcomers, only a few prerequisites being expected from the readers. The book is meant as a reference for senior undergraduates, postgraduates, scientists and researchers interested to have a quick idea of the foundations and research progress of security and privacy in federated learning, and it can equally well be used as a textbook by lecturers, tutors, and undergraduates.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews