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...
PHI De-Identification with State-of-the-Art NLP De-identification for natural language processing in healthcare is a critical procedure for safeguarding Protected Health Information (PHI) within clinical notes, wherein the data is anonymized...
Unleash the Potential of Your Texts with Powerful Keywords Extraction Using NLP and Python TL; DR: Keyword extraction is the process of automatically extracting the most important words and phrases...
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