TY  - BOOK
AU  - Biagioni,Raoul
ED  - SpringerLink (Online service)
TI  - The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts
T2  - SpringerBriefs in Cognitive Computation,
SN  - 9783319389714
AV  - RC321-580 
U1  - 612.8 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Medicine
KW  - Neurosciences
KW  - Computational linguistics
KW  - Semantics
KW  - Biomedicine
KW  - Language Translation and Linguistics
N1  - Introduction -- Sentiment Analysis -- SenticNet -- Unsupervised Sentiment Classification -- Evaluation -- Conclusion -- Index
N2  - The 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
UR  - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-38971-4
ER  -