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The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts

84,68 
84,68 
2025-07-31 84.6800 InStock
Nemokamas pristatymas į paštomatus per 16-20 darbo dienų užsakymams nuo 19,00 

Knygos aprašymas

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.

Informacija

Autorius: Raoul Biagioni
Serija: SpringerBriefs in Cognitive Computation
Leidėjas: Springer International Publishing
Išleidimo metai: 2016
Knygos puslapių skaičius: 64
ISBN-10: 331938970X
ISBN-13: 9783319389707
Formatas: Knyga minkštu viršeliu
Kalba: Anglų
Žanras: Neurosciences

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