Creating emoji lexica from unsupervised sentiment analysis of their descriptions
Authors:
- Milagros Fernández-GavilanesMFMilagros Fernández-Gavilanes
- Jonathan Juncal-MartínezJJJonathan Juncal-Martínez
- Silvia García-MéndezSGSilvia García-Méndez
- Enrique Costa-MontenegroECEnrique Costa-Montenegro
- Francisco Javier González-CastañoFrancisco Javier González-Castaño
- 1 August 2018
- journal article
- research article
- Published by Elsevier in Expert Systems with Applications
- Vol. 103, 74-91
Abstract
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Funding Information
- Ministerio de Economía y Competitividad (TEC2016-76465-C2-2-R)
- Consellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia (GRC2014/046, ED341D R2016/012)
This publication has 18 references indexed in Scilit:
- Sentic patterns: Dependency-based rules for concept-level sentiment analysisKnowledge-Based Systems, 2014
- An emotion‐based model of negation, intensifiers, and modality for polarity and intensity classificationJournal of the American Society for Information Science and Technology, 2013
- Document-level sentiment classification: An empirical comparison between SVM and ANNExpert Systems with Applications, 2013
- Sentiment Analysis and Opinion MiningSynthesis Lectures on Human Language Technologies, 2012
- Lexicon-Based Methods for Sentiment AnalysisComputational Linguistics, 2011
- How to Analyze Political Attention with Minimal Assumptions and CostsAmerican Journal of Political Science, 2009
- A systematic analysis of performance measures for classification tasksInformation Processing & Management, 2009
- Opinion Mining and Sentiment AnalysisFoundations and Trends® in Information Retrieval, 2008
- Emoticons and social interaction on the Internet: the importance of social contextComputers in Human Behavior, 2007
- Cues and channels in emotion recognition.Journal of Personality and Social Psychology, 1986