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Text Analytics and NLP with Python

  • Beginner
  • 18 and older
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  • 49 W 33rd St, New York, NY
  • 4 hours over 2 sessions

Start Dates (0) $99/person

No upcoming dates are currently available.

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Class Description

Description

The ability to extract useful information and actionable insights from heaps of unstructured and raw textual data is in great demand today with regard to applications in NLP and text analytics. 

This course will introduce you to the basics of text analytics in the Python ecosystem, primarily using the spaCy and gensim libraries. spaCy and gensim are powerful Python libraries that make processing textual data a breeze!

No previous exposure to these libraries is assumed.

You will learn:
  • Why is Natural Language Processing (NLP) Necessary?
  • What Problem Does Natural Language Processing Solve?
  • Understanding The Syntax and Structure of Textual Data
  • Word Embedding - Representing Words as Vectors
  • The Basics of Natural Language Processing using spaCy and gensim
  • Text Tokenization and Normalization
  • Automated Document Summarization and Topic Modeling: What is My Text About?
  • Extracting Key Information from Unstructured Text
  • Extracting Positive and Negative Sentiment From Text

Prerequisites:

  • Python
  • Laptop

Refund Policy

To reschedule or cancel, email us at [email protected]

All courses include a non-refundable registration fee (10% of the undiscounted course price).

  • Students may cancel up to 11 business days before the class/program start date and receive a refund, less the registration fee.
  • Cancellations within 11 business days are not permitted; however, students may reschedule up to 4 business days before the class start date.

Note: Any refunds must be requested within 180 days from the original payment date; courses rescheduled within 11 business days of the start date are not eligible for refunds.

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Practical Programming

Practical Programming offers programming classes and workshops for individuals of all skill levels who are interested in learning Python coding. It is suitable for beginners and those looking to start a career in programming or build dynamic web applications using Python.

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