Opinion mining and sentiment analysis

An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people now can, and do, active...

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Bibliographic Details
Main Authors: Pang, Bo (Author), Lee, Lillian (Author)
Format: Book
Language: English
Published: Boston : Now, [2008]
Series: Foundations and trends in information retrieval
Subjects:
ISBN: 9781601981509
Physical Description: ix, 137 stran : ilustrace ; 24 cm

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Table of contents

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100 1 |a Pang, Bo  |4 aut 
245 1 0 |a Opinion mining and sentiment analysis /  |c Bo Pang, Lillian Lee 
264 1 |a Boston :  |b Now,  |c [2008] 
264 4 |c ©2008 
300 |a ix, 137 stran :  |b ilustrace ;  |c 24 cm 
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490 1 |a Foundations and trends in information retrieval,  |x 1554-0677 ;  |v volume 2, issue 1-2, p. 1-135 
504 |a Obsahuje bibliografii 
520 |a An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people now can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object. 
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650 0 7 |a internetové sociální sítě  |7 ph553933  |2 czenas 
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650 0 7 |a počítačové zpracování textu  |7 ph705335  |2 czenas 
650 0 9 |a data mining  |2 eczenas 
650 0 9 |a Internet social networks  |2 eczenas 
650 0 9 |a data processing  |2 eczenas 
650 0 9 |a computer text processing  |2 eczenas 
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830 0 |a Foundations and trends in information retrieval 
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