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NLP with Python and TextBlob

14 Hours
TextBlob is a Python NLP library for processing textual data. It provides a simple API that makes it easy to perform NLP tasks, such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, etc. This instructor-led, live training (online or onsite) is aimed at data scientists and developers who wish to use TextBlob to implement and simplify NLP tasks, such as sentiment analysis, spelling corrections, text classification modeling, etc. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start implementing NLP tasks with TextBlob.
  • Understand the features, architecture, and advantages of TextBlob.
  • Learn how to build text classification systems using TextBlob.
  • Perform common NLP tasks (Tokenization, WordNet, Sentiment analysis, Spelling correction, etc.)
  • Execute advanced implementations with simple APIs and a few lines of codes.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Testimonials(2)

I did like the exercises

Office for National Statistics
Course - Natural Language Processing with Python

This is one of the best hands-on with exercises programming courses I have ever taken.

Laura Kahn
Course - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

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