Frequently asked questions (FAQs)

Now that we have solved the sentiment analysis problem with an acceptable level of accuracy, there are other practical aspects of this problem and overall deep learning phenomena that need to be considered too. In this section, we will see some frequently asked questions that might already be on your mind. Answers to these questions can be found in Appendix A:

1. I understand that the predictive accuracy of sentiment analysis using LSTM is still reasonable. However, it does not perform well on the Sentiment labeled dataset. Did our network overfit? Is there any way to observe how the training went?
2. Considering a huge number of review texts, can we perform the training on the GPU?
3. In relation to question 2, can we even undertake the whole process using Spark?
4. Where can I get more training datasets for sentiment analysis?
5. Instead of downloading the...