Entropy in Network Community as an Indicator of Language Structure in Emoji Usage: A Twitter Study Across Various Thematic Datasets
- 2 December 2018
- book chapter
- Published by Springer Nature
- p. 328-337
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Sentiment of EmojisPLOS ONE, 2015
- Identifying robust communities and multi-community nodes by combining top-down and bottom-up approaches to clusteringScientific Reports, 2015
- Word-length Entropies and Correlations of Natural Language Written TextsJournal of Quantitative Linguistics, 2015
- Hierarchical Block Structures and High-Resolution Model Selection in Large NetworksPhysical Review X, 2014
- Universal Entropy of Word Ordering Across Linguistic FamiliesPLOS ONE, 2011
- Community detection in graphsPhysics Reports, 2010
- Community detection algorithms: A comparative analysisPhysical Review E, 2009
- A maximum entropy-based word sense disambiguation system2002
- Entropy of natural languages: Theory and experimentChaos, Solitons & Fractals, 1994
- Understanding natural languageCognitive Psychology, 1972