In the past decades, we have seen a rapid growth of user-generated content through different social media platforms, such as Facebook and Twitter, on various topics daily. This content contains people’s sentiments and emotions expressing happiness, sadness, and anger. Using social media data, we can analyze and track public opinions to help predict attitudes towards certain products or political issues or even prevent depressed people from committing suicide. This workshop aims to teach Natural Language Processing (NLP) concepts and techniques using Python programming language.

NLP is a branch of artificial intelligence and is considered the intersection of human languages and computer science. It has many essential involvements in how computers and humans interact and shortens the gap between human communication and digital data. In this workshop, you will learn how to apply machine and deep learning with human languages (English Language) to extract useful information, such as detecting emotion in social networks.

Emotion detection is one of the most challenging problems in the automated understanding of language. Determining human emotions using text without facial expression is considered a complicated task. Therefore, building a machine that understands the context of the sentences and differentiates between emotions has recently motivated the machine learning community.

Programming experience is strongly recommended for this workshop. Please work through the following tutorial if you do not have programming experience:

https://docs.python.org/3/tutorial/