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LinkedIn Learning

Hands-On Natural Language Processing

via LinkedIn Learning

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Overview

Learn to use natural language processing to make sense of text data and derive useful insights.

Syllabus

Introduction
  • Gain insights from unstructured text data
  • What you should know
  • Exercise files
1. Named Entity Recognition (NER)
  • What is named entity recognition (NER)?
  • NER with spaCy
  • Data preprocessing for custom NER
  • Custom model training with spaCy
2. Topic Modeling
  • Introduction to topic modeling
  • Data preprocessing for topic modeling
  • Topic modeling with Gensim
  • Topic modeling visualization with pyLDAvis
  • Model evaluation for topic modeling
3. Text Summarization
  • What is text summarization?
  • Text extraction for summarization
  • Text summarization with sumy
4. Sentiment Analysis
  • What is sentiment analysis?
  • Sentiment analysis with VADER
  • Sentiment analysis with transformers
Conclusion
  • Next steps

Taught by

Wuraola Oyewusi

Reviews

4.3 rating at LinkedIn Learning based on 173 ratings

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