New framework brings accuracy, efficiency to identifying stop words

A research team led by Northwestern Engineering's Luis Amaral has developed an algorithmic approach for data analysis that automatically recognizes uninformative words—known as stop words—in a large collection of text. The findings could dramatically save time during natural language processing as well as reduce its energy footprint.