MARC details
000 -LEADER |
fixed length control field |
03686cam a2200337 i 4500 |
001 - CONTROL NUMBER |
control field |
18306878 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20160526122404.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
140918s2015 nyu b 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2014036113 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781107017894 (hb) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Language of cataloging |
eng |
Transcribing agency |
DLC |
Description conventions |
rda |
Modifying agency |
DLC |
042 ## - AUTHENTICATION CODE |
Authentication code |
pcc |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA76.9.N38 |
Item number |
L58 2015 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.312 LIU/Sen |
Edition number |
23 |
084 ## - OTHER CLASSIFICATION NUMBER |
Classification number |
COM021000 |
Source of number |
bisacsh |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Liu, Bing, |
Dates associated with a name |
1963- |
245 10 - TITLE STATEMENT |
Title |
Sentiment analysis :mining opinions, sentiments, and emotions |
Remainder of title |
|
Statement of responsibility, etc |
Bing Liu, University of Illinois at Chicago. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
New York: |
Name of publisher, distributor, etc |
Cambridge University Press; |
Date of publication, distribution, etc |
2015 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
367 pages ; |
Dimensions |
25 cm |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Machine generated contents note: 1. Introduction; 2. The problem of sentiment analysis; 3. Document sentiment classification; 4. Sentence subjectivity and sentiment classification; 5. Aspect sentiment classification; 6. Aspect and entity extraction; 7. Sentiment lexicon generation; 8. Analysis of comparative opinions; 9. Opinion summarization and search; 10. Analysis of debates and comments; 11. Mining intentions; 12. Detecting fake or deceptive opinions; 13. Quality of reviews. |
520 ## - SUMMARY, ETC. |
Summary, etc |
"Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs that are commonly used to express opinions and sentiments. It covers all core areas of sentiment analysis, includes many emerging themes, such as debate analysis, intention mining, and fake-opinion detection, and presents computational methods to analyze and summarize opinions. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences"-- |
520 ## - SUMMARY, ETC. |
Summary, etc |
"Opinion and sentiment and their related concepts such as evaluation, appraisal, attitude, affect, emotion and mood are about our subjective feelings and beliefs. They are central to the human psychology and are key influencers of our behaviors. Our beliefs and perceptions of reality, as well as the choices we make, are to a considerable degree conditioned upon how others see and perceive the world. Due to this reason, our views about the world are very much influenced by those of others, and whenever we need to make a decision we often seek out others' opinions. This is not only true for individuals but also true for organizations. From an application point of view, we naturally want to mine people's opinions and feelings toward any subject matter of interest, which is the task of sentiment analysis. More precisely, sentiment analysis, which is also called opinion mining, is a field of study that aims to extract opinions and sentiments from natural language text using computational methods"-- |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Natural language processing (Computer science) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computational linguistics. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Public opinion |
General subdivision |
Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data mining. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
COMPUTERS / Database Management / General. |
Source of heading or term |
bisacsh |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
a |
7 |
b |
cbc |
c |
orignew |
d |
1 |
e |
ecip |
f |
20 |
g |
y-gencatlg |
955 ## - COPY-LEVEL INFORMATION (RLIN) |
Book number/undivided call number, CCAL (RLIN) |
rm15 2014-09-18 |
Copy information and material description, CCAL + MDES (RLIN) |
rm15 2014-09-18 ONIX |
Copy status, CST (RLIN) |
rm15 2014-09-18 (telework) |
Classification number, CCAL (RLIN) |
rm15 2014-09-18 to Dewey |
-- |
xn13 2015-07-23 1 copy rec'd., to CIP ver. |
952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
Koha normalized classification for sorting |
006_312000000000000_LIUSEN |
Koha itemnumber |
157193 |