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.
from News on Artificial Intelligence and Machine Learning https://ift.tt/2LgAwwI
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New framework brings accuracy, efficiency to identifying stop words
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