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20192023
most citedFinding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak

237 citations · 403 across the 8 of their papers we have counts for

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Showing 2020Show all

4 papers · 1 filter

cs.CL2020

Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology using Natural Language Processing and Deep Learning for Smarter Decision Aid. Case study of restaurant choice using TripAdvisor reviews

Cristina Zuheros, Eugenio Martínez-Cámara, Enrique Herrera-Viedma +1

Decision making models are constrained by taking the expert evaluations with pre-defined numerical or linguistic terms. We claim that the use of sentiment analysis will allow decis…

stat.AP2020★ 237 cited

Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak

Simon James Fong, Gloria Li, Nilanjan Dey +2

Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and…

cs.AI2020★ 1 cited

Composite Monte Carlo Decision Making under High Uncertainty of Novel Coronavirus Epidemic Using Hybridized Deep Learning and Fuzzy Rule Induction

Simon James Fong, Gloria Li, Nilanjan Dey +2

In the advent of the novel coronavirus epidemic since December 2019, governments and authorities have been struggling to make critical decisions under high uncertainty at their bes…

cs.DL2020★ 49 cited

Science through Wikipedia: A novel representation of open knowledge through co-citation networks

Wenceslao Arroyo-Machado, Daniel Torres-Salinas, Enrique Herrera-Viedma +1

This study provides an overview of science from the Wikipedia perspective. A methodology has been established for the analysis of how Wikipedia editors regard science through their…