Tensorflow: Sentiment Analysis with Recurrent Neural Networks


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/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.



Expected Duration (hours)
1.0

Lesson Objectives

Tensorflow: Sentiment Analysis with Recurrent Neural Networks

  • 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
  • Course Number:
    it_sdaidt_06_enus

    Expertise Level
    Intermediate