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...is a collective term for characteristics that the two institutions share.
·-- PUBLISHER -----·> O'Reilly Media, Inc.
·-- LECTURESHIP ---·> Learning Path: Get Started with Natural
Language Processing Using Python,
Spark, and Scala
·-- LECTURE DATE --·> 05-2017
04-2017 {Published}
·-- PERIOD in HRS--·> 05+
·-- SCALE ---------·> 58x150mb
·-- LECTURE LINK --·> https://goo.gl/GhR8Dl
Whether youÆre a programmer with little to no knowledge of Python, or an
experienced data scientist or engineer, this Learning Path will walk you
through natural language processing, using both Python and Scala, and
show you how to implement a range of popular tools including Spark,
scikit-learn, SpaCy, NLTK, and gensim for text mining.
YouÆll learn the most common techniques for processing text, how to use
machine learning to generate annotators and apply them within a data
pipeline, and the differences between NLP pipelines and other approaches
to semantic text mining. YouÆll learn about standard UIMA annotators,
custom annotators, and machine-learned annotators, and understand how
architectures for text processing pipelines can incorporate some of the
most popular big data tools such as Kafka, Spark, SparkSQL, Cassandra,
and ElasticSearch.
By the end of the learning path, you will be able to build a natural
language processing and entity extraction pipeline, and will have a
complete understanding of the capabilities and limitations of natural
language text processing.