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020 _a9781139084789 (ebook)
020 _z9781107017894 (hardback)
035 _a(UkCbUP)CR9781139084789
039 9 _y03-08-2017
_zhafiz
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQA76.9.N38
_bL58 2015
082 0 0 _a006.3/12
_223
100 1 _aLiu, Bing,
_eauthor.
245 1 0 _aSentiment Analysis :
_bMining Opinions, Sentiments, and Emotions /
_cBing Liu.
264 1 _aCambridge :
_bCambridge University Press,
_c2015.
300 _a1 online resource (381 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 07 Mar 2017).
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 _aData mining
776 0 8 _iPrint version:
_z9781107017894
856 4 0 _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1017/CBO9781139084789
907 _a.b16441199
_b2022-11-01
_c2019-11-12
942 _n0
914 _avtls003618384
998 _anone
_b2017-08-03
_cm
_da
_feng
_genk
_y0
_z.b16441199
999 _c617335
_d617335