I have a system that stores user suggestions. Since the answers come from a touchscreen, the kids love to insert comments like:
*asduhaduh3189189'uih'dh* *<3* *asdasdasdas* *gfdghgfhe* *n035gh9091v* I created a bayesian classifier and trained it with thousands of answers. Now it filters the user inputs quite well and very few gibberishes are passing. Although, I wanted to know if someone has faced similar problems and found a way to deal with it using any Elastic Search capability. How would you separate the gibberish from valid answers with ES? Any idea? Thanks Mauricio Moraes -- You received this message because you are subscribed to the Google Groups "elasticsearch" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/elasticsearch/9c3c9421-9941-4859-9e82-2ef942742297%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
