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

The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts: SpringerBriefs in Cognitive Computation, cartea 4

Autor Raoul Biagioni
en Limba Engleză Paperback – 6 iun 2016
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.
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Specificații

ISBN-13: 9783319389707
ISBN-10: 331938970X
Pagini: 70
Ilustrații: VI, 55 p. 13 illus., 8 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Cognitive Computation

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Sentiment Analysis.- SenticNet.- Unsupervised Sentiment Classification.- Evaluation.- Conclusion.- Index.  

Caracteristici

Presents statistical analysis of SenticNet that has not been produced before Offers original research into concept-level and knowledge-based sentiment analysis using the SenticNet sentiment lexicon Broadens understanding of sentiment analysis Includes supplementary material: sn.pub/extras