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Mining association rules from COVID-19 related twitter data to discover word patterns, topics and inferences.
Koukaras P, Tjortjis C, Rousidis D. Koukaras P, et al. Inf Syst. 2022 Nov;109:102054. doi: 10.1016/j.is.2022.102054. Epub 2022 Apr 25. Inf Syst. 2022. PMID: 36569358 Free PMC article.
This work utilizes data from Twitter to mine association rules and extract knowledge about public attitudes regarding worldwide crises. It exploits the COVID-19 pandemic as a use case, and analyzes tweets gathered between February and August 2020. ...
This work utilizes data from Twitter to mine association rules and extract knowledge about public attitudes regarding worldwide crise …
Forecasting smog-related health hazard based on social media and physical sensor.
Chen J, Chen H, Wu Z, Hu D, Pan JZ. Chen J, et al. Inf Syst. 2017 Mar;64:281-291. doi: 10.1016/j.is.2016.03.011. Epub 2016 Apr 13. Inf Syst. 2017. PMID: 32287937 Free PMC article.
We evaluate the performance of the approach with other alternative machine learning methods. To the best of our knowledge, we are the first to integrate social media and physical sensor data for smog-related health hazard forecasting. ...
We evaluate the performance of the approach with other alternative machine learning methods. To the best of our knowledge, we are the …