Struggling to efficiently review extensive research literature? Join this hands-on walkthrough workshop to learn how topic modeling and Latent Dirichlet Allocation (LDA) can streamline your literature review process with the help of the open-source tool, Orange 3.

In this peer-to-peer learning workshop, you will learn how guest instructor Zarah, a TMU Professional Communication graduate student, is actively using topic modelling in her own research.

Participants will learn how text analysis capabilities of Orange 3 can speed up and automate literature reviews by analyzing papers without getting bogged down in manual reviews.

Using a case study of “binge-watching," participants will be shown how to use this tool to efficiently uncover the core themes and topics within large volumes of text and research data.

No technical or previous experience is required.

Bring a laptop with the software and add-ons installed, along with the CSV.
** All materials should be downloaded and installed prior to the workshop.**

• Orange Data Mining (free and open): https://orangedatamining.com/download
• Instructions to install the add-ons: https://drive.google.com/file/d/1t_v6-AB_iz10PpCk1BvaFjLfuV3UB9hj/view?usp=sharing
• Downloadable CSV (required for workshop): https://drive.google.com/file/d/14p_51LG_urxxTnUmrIACa2YVUnMmgNXU/view?usp=drive_lin

About the Guest Instructor:

Zahra Entezami holds an MBA and a Master of Professional Communication from TMU, with a research focus on bibliometrics and text mining. She brings over four years of experience in teaching, analysis, and digital marketing, as well as one year of experience as a research assistant. Zahra is actively engaged in scholarly work, with a publication on media literacy and an ongoing research project on social media influencers’ media management practices at the prestigious World Media Economics and Management Conference.