• Online, Self-Paced
Course Description

Discover how to construct neural networks for sentiment analysis. How to generate word embeddings on training data and use pre-trained word vectors for sentiment analysis is also covered.

Learning Objectives

TensorFlow: Sentiment Analysis with Recurrent Neural Networks

  • Course Overview
  • install TensorFlow and work with Jupyter notebooks
  • demonstrate how to load and explore training data
  • identify how to pre-process data to feed into the neural network
  • create unique identifiers to represent individual words in the vocabulary
  • create a neural network for sentiment analysis
  • describe how to train the neural network for prediction
  • identify how to pre-process data to feed into the neural network with pre-trained word vectors
  • create a lookup table to map words to unique identifiers
  • specify training data sentences in the form of word identifiers
  • perform sentiment analysis using GloVe embeddings
  • recall how RNNs can be used for sentiment analysis

 

Framework Connections

The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.