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