Label Text Data for Machine Learning Classify and Label Data
One of the top complaints data scientists have is the amount of time it takes to clean and label text data to prepare it for machine learning. In fact, it is the complaint. If you're in the data cleaning business at all, you've seen the statistics – preparing and cleaning data can eat up almost 80 percent of a data scientists' time, according to a recent CrowdFlower survey.[1] This means less data is being used. One estimate published by PWC maintains that businesses use only 0.5 percent of data that's available to them.[2] Consider, also, the issues caused by data that's labeled incorrectly.
Jun-10-2018, 01:46:25 GMT
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