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Language Detection and Multi-lingual Text Mining in Spark NLP

Watch live on February 18th at 2pm EST

 

Spark NLP provides open source, production grade, state-of-the-art support for natural language processing in 192 languages. These cover the world's widely spoken languages, including languages that do not use space for word segmentation (like Chinese, Japanese, and Korean) and languages written from right to left (Arabic, Urdu, Farsi, Hebrew). Over a thousand pre-trained models are available for different NLP tasks in various languages.


Spark NLP also includes pre-trained models for language detection for up to 375 languages. This webinar will show you how to apply these models to detect the language of a given text and apply the library to perform translation, named entity recognition, stopword removal, lemmatization, and other NLP tasks with just a few lines of Python code.

Presented by Christian Kasim Loan - Data Scientist and Spark/Scala ML engineer