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Biagioni

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

Medium: Buch
ISBN: 978-3-319-38970-7
Verlag: Springer International Publishing
Erscheinungstermin: 06.06.2016
Lieferfrist: bis zu 10 Tage
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.

Produkteigenschaften


  • Artikelnummer: 9783319389707
  • Medium: Buch
  • ISBN: 978-3-319-38970-7
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 06.06.2016
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2016
  • Serie: SpringerBriefs in Cognitive Computation
  • Produktform: Kartoniert, Paperback
  • Gewicht: 1241 g
  • Seiten: 55
  • Format (B x H x T): 155 x 235 x 4 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Autoren

Biagioni, Raoul

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