000 04509nam a22005175i 4500
001 978-3-031-02145-9
003 DE-He213
005 20240730163822.0
007 cr nn 008mamaa
008 220601s2012 sz | s |||| 0|eng d
020 _a9783031021459
_9978-3-031-02145-9
024 7 _a10.1007/978-3-031-02145-9
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aLiu, Bing.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980652
245 1 0 _aSentiment Analysis and Opinion Mining
_h[electronic resource] /
_cby Bing Liu.
250 _a1st ed. 2012.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2012.
300 _aXIV, 167 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Human Language Technologies,
_x1947-4059
505 0 _aPreface -- Sentiment Analysis: A Fascinating Problem -- The Problem of Sentiment Analysis -- Document Sentiment Classification -- Sentence Subjectivity and Sentiment Classification -- Aspect-Based Sentiment Analysis -- Sentiment Lexicon Generation -- Opinion Summarization -- Analysis of Comparative Opinions -- Opinion Search and Retrieval -- Opinion Spam Detection -- Quality of Reviews -- Concluding Remarks -- Bibliography -- Author Biography.
520 _aSentiment 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. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online. Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect-Based Sentiment Analysis / Sentiment Lexicon Generation /Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography.
650 0 _aArtificial intelligence.
_93407
650 0 _aNatural language processing (Computer science).
_94741
650 0 _aComputational linguistics.
_96146
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aNatural Language Processing (NLP).
_931587
650 2 4 _aComputational Linguistics.
_96146
710 2 _aSpringerLink (Online service)
_980653
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031010170
776 0 8 _iPrinted edition:
_z9783031032738
830 0 _aSynthesis Lectures on Human Language Technologies,
_x1947-4059
_980654
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02145-9
912 _aZDB-2-SXSC
942 _cEBK
999 _c85005
_d85005