Sentiment Classification with Recurrent Neural Networks

سرفصل های دوره

This course will teach you how to build a system for sentiment classification. You'll learn the internal intricacies of Recurrent Neural Networks and implement a sentiment classifier using an open-source Amazon product review dataset.

1. Course Overview

1. Course Overview

2. Introduction to Recurrent Neural Networks (RNNs)

1. Overview

2. Introduction to Deep Neural Networks

3. Training Deep Neural Networks

4. Natural Language Text as Sequential Data

5. Recurrent Neural Networks (RNNs)

6. Neural Network Architectures Using RNNs

7. Text Classification Using RNNs

8. Limitations of Recurrent Neural Networks

9. Summary

3. Classification of Emails Using RNNs

1. Overview

2. Explore the Spambase Dataset

3. Extract Predictors and Labels for Training

4. Perform Tokenization and Create Vocabulary

5. Padding Variable Length Sequences

6. Create and Train the Model

7. Classify Emails Using the Trained Model

8. Summary

04. Sentiment Classification of Product Reviews

01. Overview

02. Explore the Amazon Product Review Dataset

03. Extract Reviews and Sentiments

04. Convert Sentiments to Vectors

05. Cleaning of the Review Texts

06. Perform Tokenization and Create Vocabulary

07. Padding Variable Length Sequences

08. Create Model and Training

09. Predict Sentiments Using the Trained Model

10. Summary

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تولید کننده: PluralSight