Finance industry uses NLP for a variety of purposes like improved decision making, automation, data enrichment, etc. NLP automates the manual processes of turning unstructured data into a more usable form and more.
How to automatically identify different languages using out of the box pretrained models with Spark NLP in Python. Language detection is the process of automatically identifying the language of a...
Hear Me Out: How to Convert Your Voice to Text with Spark NLP and Python Automatic Speech Recognition — ASR (or Speech to Text) is an essential task in NLP...
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. TL;DR: Named Entity Recognition (NER) is a Natural Language Processing (NLP) technique that involves identifying and extracting...
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