Rule-based sentiment analysis in Natural Language Processing (NLP) is a method of sentiment analysis that uses a set of manually-defined rules to identify and extract subjective information from text data....
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...
Updated September 2026 TL; DR: Keyword extraction is the process of automatically extracting the most important words and phrases from a document or text. Using Spark NLP, it is possible...
Spark NLP for Healthcare NER models outperform ChatGPT by 10–45% on key medical concepts, resulting in half the errors compared to ChatGPT. Introduction In the last few months, large language...
Word embeddings are considered as a type of representation used in natural language processing (NLP) to capture the meaning of words in a numerical form. They are essentially a way...
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