Download the example code files

You can download the example code files for this book from GitHub at https://github.com/PacktPublishing/Machine-Learning-for-Emotion-Analysis. If there’s an update to the code, it will be updated in the GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Important Note

We make use of a number of datasets for training and evaluating models: some of these allow unrestricted use, but some have conditions or licenses that say you may only use them for non-commercial purposes. The code in the GitHub repository describes where you can obtain these datasets; you must agree to the conditions that are specified for each dataset before downloading and using it with our code examples. We are particularly grateful to Saif Mohammed for permission to use the datasets from the SEMEVAL-2017 and SEMEVAL-2018 competitions for these purposes. If you want to use any of these datasets, please acknowledge the providers, and if you use any of the SEMEVAL data, then please cite the following:

Mohammad, S. M., & Bravo-Marquez, F. (2017). WASSA-2017 Shared Task on Emotion Intensity. Proceedings of the Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA).

Mohammad, S. M., Bravo-Marquez, F., Salameh, M., & Kiritchenko, S. (2018). SemEval-2018 Task 1: Affect in Tweets. Proceedings of International Workshop on Semantic Evaluation (SemEval-2018).