Course

Creating a Wordcloud using NLP and TF-IDF in Python

Coursera Project Network

Discover how to clean, lemmatize, and apply TF-IDF to a text dataset in Python, creating a wordcloud of important ingredients from a Christmas recipes dataset. This comprehensive course covers:

  • Cleaning a dataset by removing encodings and unwanted characters
  • Lemmatizing text and fitting a TF-IDF model
  • Creating a wordcloud using TF-IDF scores

By the end of this project, you'll have a ready-to-use Jupyter notebook for generating wordclouds from any text dataset, empowering you to identify important words and visualize them effectively. This course is ideal for learners in the North America region.

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Creating a Wordcloud using NLP and TF-IDF in Python
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