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035   $a(DE-He213)978-3-319-38971-4
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101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 14$aThe SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts /$fby Raoul Biagioni
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (VI, 55 p. 13 illus., 8 illus. in color.) 
225 1 $aSpringerBriefs in Cognitive Computation,$x2212-6023 ;$v4
311   $a3-319-38970-X 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aIntroduction -- Sentiment Analysis -- SenticNet -- Unsupervised Sentiment Classification -- Evaluation -- Conclusion -- Index. .
330   $aThe research and its outcomes presented in this book, is about lexicon-based sentiment analysis. It uses single-, and multi-word concepts from the SenticNet sentiment lexicon as the source of sentiment information for the purpose of sentiment classification. In 6 chapters the book sheds light on the comparison of sentiment classification accuracy between single-word and multi-word concepts, for which a bespoke sentiment analysis system developed by the author was used. This book will be of interest to students, educators and researchers in the field of Sentic Computing.
410  0$aSpringerBriefs in Cognitive Computation,$x2212-6023 ;$v4
606   $aNeurosciences
606   $aNatural language processing (Computer science)
606   $aSemantics
606   $aNeurosciences$3https://scigraph.springernature.com/ontologies/product-market-codes/B18006
606   $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040
606   $aSemantics$3https://scigraph.springernature.com/ontologies/product-market-codes/N39000
615  0$aNeurosciences.
615  0$aNatural language processing (Computer science).
615  0$aSemantics.
615 14$aNeurosciences.
615 24$aNatural Language Processing (NLP).
615 24$aSemantics.
676   $a401.430285
700   $aBiagioni$b Raoul$4aut$4http://id.loc.gov/vocabulary/relators/aut$01062674
801  0$bMiAaPQ
801  1$bMiAaPQ
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906   $aBOOK
912   $a9910253868203321
996   $aThe SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts$92527558
997   $aUNINA