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  • 1
    Online Resource
    Online Resource
    Building pipelines for natural language understanding with Spark : a hands-on guide to machine learning annotators, topic modeling, and deep learning for text mining (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 32 min., 57 sec.)) , digital, sound, color
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Natural language processing (Computer science) ; Data mining ; Electronic data processing ; Distributed processing ; Electronic videos ; local
    Abstract: "The course is designed for engineers and data scientists who have some familiarity with Scala, Apache Spark, and machine learning who need to process large natural language text in a distributed fashion.We will use sample of posts from the subreddit /r/WritingPrompts, which contains short stories and comments about the short stories.The course has four parts1. Building a natural language processing and entity extraction pipeline on Scala & Spark2. Machine Learning Applications for Statistical Natural Language Understanding at Scale3. Topic Modeling on Natural Language with Scala, Spark and MLLib4. Deep Learning Applications for Natural Language Understanding with Scala, Spark and MLLibYou will learn how use Apache Spark to process text with annotations, use machine learning with your annotations, create and use topic models, create and use a word2vec model."--Resource description page.
    Note: Title from title screen (viewed January 25, 2017)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Learning path : get started with natural language processing using Python, Spark, and Scala (2017)
    [Place of publication not identified] : O'Reilly Media
    Details
    ISBN: 9781491985854 , 1491985852
    Language: English
    Pages: 1 online resource (1 streaming video file (5 hr., 48 min., 44 sec.)) , digital, sound, color
    Keywords: Internet videos ; Streaming video ; Spark (Electronic resource : Apache Software Foundation) ; Natural language processing (Computer science) ; Python (Computer program language) ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Abstract: "Whether you're 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. You'll 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. You'll 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."--Resource description page.
    Note: Title and publication information from resource description page (Safari, viewed April 10, 2017)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Natural Language Processing with Spark NLP (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (94 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you want to build an enterprise-quality application that uses natural language text, but aren’t sure where to begin or what tools to use, this practical guide will help get you started. You’ll explore special concerns for developing text-based applications, such as performance. Alex Thomas, data scientist at Indeed, shows software engineers and data scientists how to build scalable NLP applications using deep learning and the Apache Spark NLP library. Through concrete examples, practical and theoretical explanations, and hands-on exercises for using NLP on the Spark processing framework, this book teaches you everything from NLP basics to applications of powerful modern techniques. Process text in a distributed environment using Spark NLP, a production-ready library for NLP built on Spark Create, tune, and deploy your own word embeddings Adapt your NLP applications to multiple languages Use text in machine learning and deep learning Learn why these techniques work from a machine learning, linguistic, and practical point of view
    Note: Online resource; Title from title page (viewed July 25, 2020)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
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