The Senticnet Sentiment Lexicon: Exploring Semantic Richness In Multi-word Concepts (springerbriefs In Cognitive Computation)
by Raoul Biagioni /
2016 / English / PDF
1.3 MB Download
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.
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.
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.
This book will be of interest to students, educators and
researchers in the field of Sentic Computing.
