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
Extracting knowledge from opinion mining
~
Agrawal, Rashmi,
FindBook
Google Book
Amazon
博客來
Extracting knowledge from opinion mining
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Extracting knowledge from opinion mining/ Rashmi Agrawal and Neha Gupta, editors.
其他作者:
Agrawal, Rashmi,
出版者:
Hershey, Pennsylvania :IGI Global, : [2019],
面頁冊數:
1 online resource (xxvii, 346 p.)
內容註:
Section 1. Introductory concepts of opinion mining. Chapter 1. Fundamentals of opinion mining ; Chapter 2. Feature based opinion mining ; Chapter 3. Deep learning for opinion mining ; Chapter 4. Opinion mining: using machine learning techniques -- Section 2. Ontologies and their applications. Chapter 5. Ontology-based opinion mining ; Chapter 6. Ontologies, repository, and information mining in component-based software engineering environment ; Chapter 7. Ontology-based opinion mining for online product reviews ; Chapter 8. Applications of ontology-based opinion mining -- Section 3. Tools and techniques of opinion mining. Chapter 9. Tools of opinion mining ; Chapter 10. Sentimental analysis tools ; Chapter 11. Anatomizing lexicon with natural language Tokenizer Toolkit 3 -- Section 4. Challenges and open issues of opinion mining. Chapter 12. Challenges of text analytics in opinion mining ; Chapter 13. Open issues in opinion mining -- Section 5. Case study. Chapter 14. Case study: efficient faculty recruitment using genetic algorithm
標題:
Data mining. -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-6117-0
ISBN:
9781522561187 (e-book)
Extracting knowledge from opinion mining
Extracting knowledge from opinion mining
[electronic resource] /Rashmi Agrawal and Neha Gupta, editors. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xxvii, 346 p.)
Includes bibliographical references and index.
Section 1. Introductory concepts of opinion mining. Chapter 1. Fundamentals of opinion mining ; Chapter 2. Feature based opinion mining ; Chapter 3. Deep learning for opinion mining ; Chapter 4. Opinion mining: using machine learning techniques -- Section 2. Ontologies and their applications. Chapter 5. Ontology-based opinion mining ; Chapter 6. Ontologies, repository, and information mining in component-based software engineering environment ; Chapter 7. Ontology-based opinion mining for online product reviews ; Chapter 8. Applications of ontology-based opinion mining -- Section 3. Tools and techniques of opinion mining. Chapter 9. Tools of opinion mining ; Chapter 10. Sentimental analysis tools ; Chapter 11. Anatomizing lexicon with natural language Tokenizer Toolkit 3 -- Section 4. Challenges and open issues of opinion mining. Chapter 12. Challenges of text analytics in opinion mining ; Chapter 13. Open issues in opinion mining -- Section 5. Case study. Chapter 14. Case study: efficient faculty recruitment using genetic algorithm
Restricted to subscribers or individual electronic text purchasers.
"This book covers the key topics of opinion mining and sentiment analysis. It includes future trends and research directions related to opinion supervised and unsupervised approaches for opinion mining, machine learning techniques, deep learning and opinion spam detection. The book also includes some open source tools for opinion mining and sentiment analysis"--Provided by publisher.
ISBN: 9781522561187 (e-book)Subjects--Topical Terms:
562972
Data mining.
LC Class. No.: QA76.9.D343 / E9984 2019e
Dewey Class. No.: 006.3/12
Extracting knowledge from opinion mining
LDR
:02407nmm 2200277 a 4500
001
2184041
003
IGIG
005
20191023161810.0
006
m o d
007
cr cn
008
191225s2018 pau fob 001 0 eng d
010
$z
2018001725
020
$a
9781522561187 (e-book)
020
$a
9781522561170 (hardback)
035
$a
(OCoLC)1048608875
035
$a
1081021285
040
$a
CaBNVSL
$b
eng
$c
CaBNVSL
$d
CaBNVSL
050
0 0
$a
QA76.9.D343
$b
E9984 2019e
082
0 0
$a
006.3/12
$2
23
245
0 0
$a
Extracting knowledge from opinion mining
$h
[electronic resource] /
$c
Rashmi Agrawal and Neha Gupta, editors.
260
$a
Hershey, Pennsylvania :
$b
IGI Global,
$c
[2019]
300
$a
1 online resource (xxvii, 346 p.)
504
$a
Includes bibliographical references and index.
505
0
$a
Section 1. Introductory concepts of opinion mining. Chapter 1. Fundamentals of opinion mining ; Chapter 2. Feature based opinion mining ; Chapter 3. Deep learning for opinion mining ; Chapter 4. Opinion mining: using machine learning techniques -- Section 2. Ontologies and their applications. Chapter 5. Ontology-based opinion mining ; Chapter 6. Ontologies, repository, and information mining in component-based software engineering environment ; Chapter 7. Ontology-based opinion mining for online product reviews ; Chapter 8. Applications of ontology-based opinion mining -- Section 3. Tools and techniques of opinion mining. Chapter 9. Tools of opinion mining ; Chapter 10. Sentimental analysis tools ; Chapter 11. Anatomizing lexicon with natural language Tokenizer Toolkit 3 -- Section 4. Challenges and open issues of opinion mining. Chapter 12. Challenges of text analytics in opinion mining ; Chapter 13. Open issues in opinion mining -- Section 5. Case study. Chapter 14. Case study: efficient faculty recruitment using genetic algorithm
506
$a
Restricted to subscribers or individual electronic text purchasers.
520
3
$a
"This book covers the key topics of opinion mining and sentiment analysis. It includes future trends and research directions related to opinion supervised and unsupervised approaches for opinion mining, machine learning techniques, deep learning and opinion spam detection. The book also includes some open source tools for opinion mining and sentiment analysis"--Provided by publisher.
650
0
$a
Data mining.
$3
562972
650
0
$a
Discourse analysis
$x
Data processing.
$3
605544
650
0
$a
Language and emotions.
$3
534528
650
0
$a
Public opinion.
$3
531264
700
1
$a
Agrawal, Rashmi,
$e
editor.
$3
3395820
700
1
$a
Gupta, Neha,
$e
editor.
$3
3395821
856
4 0
$u
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-6117-0
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
W9371570
電子資源
11.線上閱覽_V
電子書
EB QA76.9.D343 E9984 2019e
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