Skip to Content
Machine Learning Solutions
book

Machine Learning Solutions

by Jalaj Thanaki
April 2018
Beginner to intermediate content levelBeginner to intermediate
566 pages
12h 17m
English
Packt Publishing
Content preview from Machine Learning Solutions

Summary

In this chapter, we looked at how to build a sentiment analysis model that gives us state-of-the-art results. We used an IMDb dataset that had positive and negative movie reviews and understood the dataset. We applied the machine learning algorithm in order to get the baseline model. After that, in order to optimize the baseline model, we changed the algorithm and applied deep-learning-based algorithms. We used glove, RNN, and LSTM techniques to achieve the best results. We learned how to build sentiment analysis applications using Deep Learning. We used TensorBoard to monitor our model's training progress. We also touched upon modern machine learning algorithms as well as Deep Learning techniques for developing sentiment analysis, and ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Machine Learning

Machine Learning

Subramanian Chandramouli, Saikat Dutt, Amit Kumar Das
Machine Learning for Business

Machine Learning for Business

Doug Hudgeon, Richard Nichol
Introducing Machine Learning

Introducing Machine Learning

Dino Esposito, Francesco Esposito

Publisher Resources

ISBN: 9781788390040Supplemental Content