Using knowledge and event mining technologies to create behavior prediction tools is already a reality in areas such as agriculture and education. With the support of the main research promotion agencies in Brazil, studies to find patterns and frequencies of certain aspects are based on news from reliable sources to weave future scenarios. Now, the tactic is being applied to the coronavirus – and that can be quite a weapon against the pandemic.
Committed to collecting information mentioning the new coronavirus or the covid-19 disease, researchers from USP’s Institute of Mathematical and Computer Sciences (ICMC) are dedicated to improving the artificial intelligence techniques of Websensors, a tool that uses the automatic extraction of events from from news. With it, it is possible to identify subjects, names of people and organizations, all with how much do computer scientists make locations.
It is an additional support for specialists dedicated to fighting the disease that has taken over the news in recent months and which, it seems, will remain very present in our daily lives for some time. In this way, it is possible to outline strategies based on what was successful and also on what did not work in fighting the virus.
Solange Rezende, project coordinator, explains the importance of something like this: “When we look at the future evolution of the disease contamination curve and only take into account data on contagions that happened in the past, we have a limited view of the problem. If it is possible to enrich this view, adding information extracted from reliable sources to the forecast, we believe that we can increase our view and, who knows, build predictive models closer to reality ”.
It is a fact that there is a massive amount of information circulating on the internet about the pandemic and that this tends to increase more and more. Being a source of data from all over the world, with the right tool, it is possible to use the network as a kind of sensor that makes it possible to build models to predict what is coming.
Committed to collecting information mentioning the new coronavirus or the covid-19 disease, researchers from USP’s Institute of Mathematical and Computer Sciences (ICMC) are dedicated to improving the artificial intelligence techniques of Websensors, a tool that uses the automatic extraction of events from from news. With it, it is possible to identify subjects, names of people and organizations, all with how much do computer scientists make locations.
It is an additional support for specialists dedicated to fighting the disease that has taken over the news in recent months and which, it seems, will remain very present in our daily lives for some time. In this way, it is possible to outline strategies based on what was successful and also on what did not work in fighting the virus.
Solange Rezende, project coordinator, explains the importance of something like this: “When we look at the future evolution of the disease contamination curve and only take into account data on contagions that happened in the past, we have a limited view of the problem. If it is possible to enrich this view, adding information extracted from reliable sources to the forecast, we believe that we can increase our view and, who knows, build predictive models closer to reality ”.
It is a fact that there is a massive amount of information circulating on the internet about the pandemic and that this tends to increase more and more. Being a source of data from all over the world, with the right tool, it is possible to use the network as a kind of sensor that makes it possible to build models to predict what is coming.
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