“Companies involved in exporting are required to screen customer lists against various watchlists, but often they rely on manual, visual checks.”
“Our experiments showed that most open source stemmers resulted in either too many bad results from over-stemming (low precision) or too many missing results (low recall) compared to a lemmatizer. Rosette allowed us to optimize the balance between precision and recall to provide a superior experience for our customers’ searches.”