東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Sentiment analysis = mining opinions...

Liu, Bing.

Linked to FindBook

Google Book

Amazon

博客來

Sentiment analysis = mining opinions, sentiments, and emotions /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Sentiment analysis/ Bing Liu.
Reminder of title:	mining opinions, sentiments, and emotions /
Author:	Liu, Bing.
Published:	Cambridge :Cambridge University Press, : 2020.,
Description:	xvii, 431 p. :ill., digital ;24 cm.
Notes:	Title from publisher's bibliographic system (viewed on 21 Sep 2020).
Subject:	Natural language processing (Computer science) -
Online resource:	https://doi.org/10.1017/9781108639286
ISBN:	9781108639286

Sentiment analysis = mining opinions, sentiments, and emotions /
Liu, Bing.

Sentiment analysismining opinions, sentiments, and emotions /[electronic resource] :Bing Liu. - Second edition. - Cambridge :Cambridge University Press,2020. - xvii, 431 p. :ill., digital ;24 cm. - Studies in natural language processing. - Studies in natural language processing..

Title from publisher's bibliographic system (viewed on 21 Sep 2020).

Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and also new material on emotion and mood analysis techniques, emotion-enhanced dialogues, and multimodal emotion analysis.

ISBN: 9781108639286Subjects--Topical Terms:

565309
Natural language processing (Computer science)

LC Class. No.: QA76.9.N38 / L58 2020

Dewey Class. No.: 006.312

Sentiment analysis = mining opinions, sentiments, and emotions /
LDR:02036nmm a2200277 a 4500 001 2415250
003 UkCbUP
005 20201007155857.0
006 m d
007 cr nn 008maaau
008 260207s2020 enk o 1 0 eng d
020 $a 9781108639286 $q (electronic bk.)
020 $a 9781108486378 $q (hardback)
035 $a CR9781108639286
040 $a UkCbUP $b eng $c UkCbUP $d GP
041 0 $a eng
050 0 0 $a QA76.9.N38 $b L58 2020
082 0 0 $a 006.312 $2 23
090 $a QA76.9.N38 $b L783 2020
100 1 $a Liu, Bing. $3 1257045
245 1 0 $a Sentiment analysis $h [electronic resource] : $b mining opinions, sentiments, and emotions / $c Bing Liu.
250 $a Second edition.
260 $a Cambridge : $b Cambridge University Press, $c 2020.
300 $a xvii, 431 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in natural language processing
500 $a Title from publisher's bibliographic system (viewed on 21 Sep 2020).
520 $a Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and also new material on emotion and mood analysis techniques, emotion-enhanced dialogues, and multimodal emotion analysis.
650 0 $a Natural language processing (Computer science) $3 565309
650 0 $a Computational linguistics. $3 606540
650 0 $a Public opinion $x Data processing. $3 2137801
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
830 0 $a Studies in natural language processing. $3 3792549
856 4 0 $u https://doi.org/10.1017/9781108639286