Raoul Biagioni

The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 55
• Erscheinungstermin: 28. Mai 2016
• Englisch
• ISBN-13: 9783319389714
• Artikelnr.: 46924542

Inhaltsangabe

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