語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Neural networks for natural language...
~
S., Sumathi, (1979-)
FindBook
Google Book
Amazon
博客來
Neural networks for natural language processing
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Neural networks for natural language processing/ Sumathi S, Janani M, editors.
其他作者:
S., Sumathi,
出版者:
Hershey, Pennsylvania :IGI Global, : 2020.,
面頁冊數:
21 PDFs (227 pages)
內容註:
Chapter 1. Deep learning network: deep neural networks -- Chapter 2. A journey from neural networks to deep networks: comprehensive understanding for deep learning -- Chapter 3. Current trends in deep learning frameworks with opportunities and future prospectus -- Chapter 4. Emotion recognition from speech using perceptual filter and neural network -- Chapter 5. Ontology creation -- Chapter 6. Semantic similarity using register linear question classification (RLQC) for question classification -- Chapter 7. Knowledge graph generation -- Chapter 8. Develop a neural model to score bigram of words using bag-of-words model for sentiment analysis -- Chapter 9. Deep learning approach for extracting catch phrases from legal documents -- Chapter 10. Enhanced sentiment classification using recurrent neural networks -- Chapter 11. Natural language processing-based information extraction and abstraction for lease documents -- Chapter 12. Neural network applications in hate speech detection.
標題:
Natural language processing (Computer science) -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-1159-6
ISBN:
9781799811619 (ebk.)
Neural networks for natural language processing
Neural networks for natural language processing
[electronic resource] /Sumathi S, Janani M, editors. - Hershey, Pennsylvania :IGI Global,2020. - 21 PDFs (227 pages)
Includes bibliographical references and index.
Chapter 1. Deep learning network: deep neural networks -- Chapter 2. A journey from neural networks to deep networks: comprehensive understanding for deep learning -- Chapter 3. Current trends in deep learning frameworks with opportunities and future prospectus -- Chapter 4. Emotion recognition from speech using perceptual filter and neural network -- Chapter 5. Ontology creation -- Chapter 6. Semantic similarity using register linear question classification (RLQC) for question classification -- Chapter 7. Knowledge graph generation -- Chapter 8. Develop a neural model to score bigram of words using bag-of-words model for sentiment analysis -- Chapter 9. Deep learning approach for extracting catch phrases from legal documents -- Chapter 10. Enhanced sentiment classification using recurrent neural networks -- Chapter 11. Natural language processing-based information extraction and abstraction for lease documents -- Chapter 12. Neural network applications in hate speech detection.
"This book examines natural language processing models and algorithms using traditional symbolic and more recent statistical approaches"--
ISBN: 9781799811619 (ebk.)Subjects--Topical Terms:
565309
Natural language processing (Computer science)
LC Class. No.: QA76.9.N38 / N4785 2020e
Dewey Class. No.: 006.3/2
Neural networks for natural language processing
LDR
:02026nmm a2200265 a 4500
001
2246893
003
IGIG
005
20211018171105.0
006
m o d
007
cr cn
008
211227s2020 pau fob 001 0 eng d
020
$a
9781799811619 (ebk.)
020
$a
9781799811596 (hbk.)
020
$a
9781799811602 (pbk.)
035
$a
(OCoLC)1131099399
035
$a
1101012249
040
$a
CaBNVSL
$b
eng
$c
CaBNVSL
$d
CaBNVSL
050
0 0
$a
QA76.9.N38
$b
N4785 2020e
082
0 0
$a
006.3/2
$2
23
245
0 0
$a
Neural networks for natural language processing
$h
[electronic resource] /
$c
Sumathi S, Janani M, editors.
260
$a
Hershey, Pennsylvania :
$b
IGI Global,
$c
2020.
300
$a
21 PDFs (227 pages)
504
$a
Includes bibliographical references and index.
505
0
$a
Chapter 1. Deep learning network: deep neural networks -- Chapter 2. A journey from neural networks to deep networks: comprehensive understanding for deep learning -- Chapter 3. Current trends in deep learning frameworks with opportunities and future prospectus -- Chapter 4. Emotion recognition from speech using perceptual filter and neural network -- Chapter 5. Ontology creation -- Chapter 6. Semantic similarity using register linear question classification (RLQC) for question classification -- Chapter 7. Knowledge graph generation -- Chapter 8. Develop a neural model to score bigram of words using bag-of-words model for sentiment analysis -- Chapter 9. Deep learning approach for extracting catch phrases from legal documents -- Chapter 10. Enhanced sentiment classification using recurrent neural networks -- Chapter 11. Natural language processing-based information extraction and abstraction for lease documents -- Chapter 12. Neural network applications in hate speech detection.
520
3
$a
"This book examines natural language processing models and algorithms using traditional symbolic and more recent statistical approaches"--
$c
Provided by publisher.
650
0
$a
Natural language processing (Computer science)
$3
565309
650
0
$a
Neural networks (Computer science)
$3
532070
700
1
$a
S., Sumathi,
$d
1979-
$3
3510680
700
1
$a
M., Janani,
$d
1988-
$3
3510681
856
4 0
$u
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-1159-6
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9407264
電子資源
11.線上閱覽_V
電子書
EB QA76.9.N38 N4785 2020e
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入