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

Raoul Biagioni (Autor)

Buch | Softcover

VI, 55 Seiten

2016
Springer International Publishing (Verlag)
978-3-319-38970-7 (ISBN)

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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.

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

Erscheinungsdatum	08.10.2016
Reihe/Serie	SpringerBriefs in Cognitive Computation
Zusatzinfo	VI, 55 p. 13 illus., 8 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Medizin / Pharmazie ► Studium
	Naturwissenschaften ► Biologie ► Humanbiologie
	Sozialwissenschaften
Schlagworte	Biomedical and Life Sciences • Concepts • language translation and linguistics • Neurosciences • Polarity • semantic richness • Semantics • sentiment analysis • sentiment lexicon
ISBN-10	3-319-38970-X / 331938970X
ISBN-13	978-3-319-38970-7 / 9783319389707
Zustand	Neuware