Building Pipelines for Natural Language Understanding with Spark / Talby, David.

Format:

Video

Author/Creator:

Talby, David, author.

Thomas, Alex, author.

Language:

English

Subjects (All):

Natural language processing (Computer science).

Data mining.

Electronic data processing--Distributed processing.

Electronic data processing.

Spark (Electronic resource : Apache Software Foundation).

Genre:

Electronic videos.

Physical Description:

1 online resource (1 video file, approximately 1 hr., 33 min.)

Edition:

1st edition

Place of Publication:

O'Reilly Media, Inc., 2016.

System Details:

video file

Summary:

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.

Participant:

Presenters, David Talby, Alex Thomas.

Notes:

Online resource; Title from title screen (viewed December 22, 2016)

Title from title screen (viewed January 25, 2017).

OCLC:

970351886