Stepping into Unsupervised and Semi-supervised Text Analysis: Topic Modeling and KeyATM

This final virtual workshop introduces participants to topic modeling, an exciting realm of text analysis. The workshop focuses on two key methodologies: topic modeling and keyword-assisted topic models(keyATM). Participants will gain a practical understanding of topic modeling, a powerful unsupervised technique that extracts hidden themes and patterns from text collections. They'll learn how to apply topic modeling to identify dominant topics within textual data and how to interpret the results. The workshop will then delve into the keyATM, offering participants insights into the synergy between human expertise and machine learning. Attendees will discover how keywords can guide and refine the topic modeling process, enhancing the accuracy and relevance of the topics uncovered.