Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs

Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs

Abstract The emergence and global adoption of social media has rendered possible the real-time estimation of population-scale sentiment, an extraordinary capacity which has profound implications for our understanding of human behavior. Given the growing assortment of sentiment-measuring instruments,...

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Bibliographic Details
Main Authors: Andrew J Reagan, Christopher M Danforth, Brian Tivnan, Jake Ryland Williams, Peter Sheridan Dodds
Format: Article
Language:English
Published: SpringerOpen 2017-10-01
Series:EPJ Data Science
Subjects:
sentiment
sentiment analysis
sentiment dictionaries
language
natural language processing
data visualization
Online Access:http://link.springer.com/article/10.1140/epjds/s13688-017-0121-9

Internet

http://link.springer.com/article/10.1140/epjds/s13688-017-0121-9

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