In a prior Blog, I mentioned “Ransomware”. That is when someone, without your best interest at heart, inserts malware on your computer. Here's what to do.
Introduction Smart assistants like Amazon’s Alexa and Apple’s Siri recognize patterns in speech using Natural Language Processing, comprehend meaning and provide a meaningful response. Search engines surface relevant results...
Using machine learning and regex patters to identify and extract date information in Spark NLP TL; DR: Extracting date information from text is a common Natural Language Processing (NLP) task...
The social determinants of health (SDoH) are the non-medical factors that influence health outcomes and usually one of the hardest type of entities to extract with pre-trained clinical NLP models....
Creating visualizations for analysis and reporting using Spark NLP and Spark NLP display. TL;DR: Named entity visualization is a technique for representing the results of named entity recognition (NER) in...
Use pretrained models, segment texts into words, and train custom word segmenter models with Python TL; DR: Some Asian languages don’t separate words by white space like English, and NLP...
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