語系:
繁體中文
English
簡体中文
說明(常見問題)
圖書館個人資料蒐集告知聲明
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Sentiment analysis and opinion mining
~
Liu, Bing (1963-)
Sentiment analysis and opinion mining
紀錄類型:
書目-語言資料,印刷品 : 單行本
作者:
LiuBing, 1963-
出版地:
San Rafael, Calif.
出版者:
Morgan & Claypool;
出版年:
c2012
面頁冊數:
xiv, 165 p.ill. : 24 cm.;
集叢名:
Synthesis lectures on human language technologies#16
標題:
Computational linguistics -
標題:
Data mining -
標題:
Public opinion - Data processing -
標題:
User-generated content - Research -
附註:
Includes bibliographical references (p. 135-163)
摘要註:
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis
ISBN:
978-1-60845-884-4
內容註:
1. Sentiment analysis: a fascinating problem 2. The problem of sentiment analysis 3. Document sentiment classification 4. Sentence subjectivity and sentiment classification 5. Aspect-based sentiment analysis 6. Sentiment lexicon generation 7. Opinion summarization 8. Analysis of comparative opinions 9. Opinion search and retrieval 10. Opinion spam detection 11. Quality of reviews 12. Concluding remarks
Sentiment analysis and opinion mining
Liu, Bing
Sentiment analysis and opinion mining
/ Bing Liu - San Rafael, Calif. : Morgan & Claypool, c2012. - xiv, 165 p. ; ill. ; 24 cm.. - (Synthesis lectures on human language technologies ; #16).
1. Sentiment analysis: a fascinating problem.
Includes bibliographical references (p. 135-163)Part of: Synthesis digital library of engineering and computer science.
ISBN 978-1-60845-884-4ISBN 978-1-60845-885-1ISBN 1-60845-884-9ISBN 1-60845-885-7
Computational linguisticsData miningPublic opinionUser-generated content -- Data processing -- Research
Sentiment analysis and opinion mining
LDR
:02030cam0 2200265 i 450
001
324859
005
20120831105052.0
009
791643259
010
1
$a
978-1-60845-884-4
$b
pbk.
$d
NT1320
010
1
$a
978-1-60845-885-1
$b
ebook
010
1
$a
1-60845-884-9
$b
pbk.
010
1
$a
1-60845-885-7
$b
ebook
100
$a
20121122d2012 m y0engy50 ba
101
0
$a
eng
102
$a
us
105
$a
a a 000yy
200
1
$a
Sentiment analysis and opinion mining
$f
Bing Liu
210
$a
San Rafael, Calif.
$c
Morgan & Claypool
$d
c2012
215
1
$a
xiv, 165 p.
$c
ill.
$d
24 cm.
225
1
$a
Synthesis lectures on human language technologies
$x
1947-4040
$v
#16
300
$a
Includes bibliographical references (p. 135-163)
300
$a
Part of: Synthesis digital library of engineering and computer science
327
1
$a
1. Sentiment analysis: a fascinating problem
$a
2. The problem of sentiment analysis
$a
3. Document sentiment classification
$a
4. Sentence subjectivity and sentiment classification
$a
5. Aspect-based sentiment analysis
$a
6. Sentiment lexicon generation
$a
7. Opinion summarization
$a
8. Analysis of comparative opinions
$a
9. Opinion search and retrieval
$a
10. Opinion spam detection
$a
11. Quality of reviews
$a
12. Concluding remarks
330
$a
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis
606
$a
Computational linguistics
$2
lc
$3
74973
606
$a
Data mining
$2
lc
$3
66445
606
$a
Public opinion
$x
Data processing
$2
lc
$3
294120
606
$a
User-generated content
$x
Research
$2
lc
$3
294121
676
$a
006.3
$v
23
680
$a
QA76.9.D343
$b
L587 2012
700
1
$a
Liu
$b
Bing
$f
1963-
$3
294119
筆 0 讀者評論
館藏地:
全部
六樓西文書庫區
出版年:
卷號:
館藏
期刊年代月份卷期操作說明(Help)
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
預約人數
期刊出刊日期 / 原館藏地 / 其他備註
附件
292845
六樓西文書庫區
圖書流通(BOOK_CIR)
BOOK
006.3/L783
一般使用(Normal)
書架上
0
1 筆 • 頁數 1 •
1
評論
新增評論
分享你的心得
建立或儲存個人書籤
書目轉出
取書館別
處理中
...
變更密碼
登入