De-identification is detecting privacy-related entities in text, such as person, organization names, emails, and other contact data, and masking them with different techniques. This task, also called anonymization or redaction, can help you:...
See how Bert-based models in Spark NLP can effortlessly resolve co-reference in your text data Coreference resolution is the task of identifying and linking all expressions within a text that...
Using Spark NLP in Python to identify named entities in texts at scale. Named Entity Recognition with Python TL;DR: Named Entity Recognition (NER) is a Natural Language Processing (NLP) technique...
Using machine learning and regex patterns to identify and extract date information in Spark NLP TL; DR: Dates extraction from a text is a common Natural Language Processing (NLP) task...
Creating visualizations for analysis and reporting using Spark NLP and Spark NLP display. TL;DR: Visualizing Named Entities is a technique for representing the results of named entity recognition (NER) in...
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