000 02449nam a22004935i 4500
001 978-3-319-38971-4
003 DE-He213
005 20180206182946.0
007 cr nn 008mamaa
008 160528s2016 gw | s |||| 0|eng d
020 _a9783319389714
_9978-3-319-38971-4
050 4 _aRC321-580
072 7 _aPSAN
_2bicssc
072 7 _aMED057000
_2bisacsh
082 0 4 _a612.8
_223
100 1 _aBiagioni, Raoul.
_eauthor.
245 1 4 _aThe SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts
_h[recurso electrónico] /
_cby Raoul Biagioni.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aVI, 55 p. 13 illus., 8 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Cognitive Computation,
_x2212-6023 ;
_v4
505 0 _aIntroduction -- Sentiment Analysis -- SenticNet -- Unsupervised Sentiment Classification -- Evaluation -- Conclusion -- Index.
520 _aThe research and its outcomes presented in this book, is about lexicon-based sentiment analysis. It uses single-, and multi-word concepts from the SenticNet sentiment lexicon as the source of sentiment information for the purpose of sentiment classification. In 6 chapters the book sheds light on the comparison of sentiment classification accuracy between single-word and multi-word concepts, for which a bespoke sentiment analysis system developed by the author was used. This book will be of interest to students, educators and researchers in the field of Sentic Computing.
650 0 _aMedicine.
650 0 _aNeurosciences.
650 0 _aComputational linguistics.
650 0 _aSemantics.
650 1 4 _aBiomedicine.
650 2 4 _aNeurosciences.
650 2 4 _aLanguage Translation and Linguistics.
650 2 4 _aSemantics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319389707
830 0 _aSpringerBriefs in Cognitive Computation,
_x2212-6023 ;
_v4
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-38971-4
912 _aZDB-2-SBL
942 _cLIBRO_ELEC
999 _c225720
_d225720