000			02717nam a22003618i 4500
001			CR9781139084789
003			UkCbUP
005			20200124160216.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			110509s2015||||enk o ||1 0|eng|d
020			_a9781139084789 (ebook)
020			_z9781107017894 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA76.9.N38 _bL58 2015
082	0	0	_a006.3/12 _223
100	1		_aLiu, Bing, _d1963- _eauthor.
245	1	0	_aSentiment analysis : _bmining opinions, sentiments, and emotions / _cBing Liu, University of Illinois at Chicago.
264		1	_aCambridge : _bCambridge University Press, _c2015.
300			_a1 online resource (367 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	8		_aMachine 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			_aSentiment 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.
650		0	_aNatural language processing (Computer science)
650		0	_aComputational linguistics.
650		0	_aPublic opinion _xData processing.
650		0	_aData mining.
776	0	8	_iPrint version: _z9781107017894
856	4	0	_uhttps://doi.org/10.1017/CBO9781139084789
999			_c516320 _d516318