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.
In this second Text Analysis Virtual Workshop series, we will cover data preprocessing, which is a set of steps and techniques applied to raw text data before analysis. These steps include tokenization, lowercasing, stop word removal, stemming and lemmatization, removing special characters, and further text cleaning.
In this first Text Analysis Virtual Workshop series, we delve into foundational understanding and practical applications of text analysis. Defining concepts like text mining and natural language processing, we explore their uses in social sciences, digital humanities, and beyond. We will then discover how these methods address complex inquiries, enriching our grasp of societal phenomena. Beyond academia, we will showcase text analysis's efficacy in marketing, finance, and more.
In the follow-up Visualization 2 virtual workshop, we will venture into ggplot's advanced features, equipping participants with visualization techniques to resolve complex challenges. We will first explore how to create informative animated visualizations. Attendees will then have the opportunity to uncover the power of coordinates and maps, illuminating how data can be spatially represented for deeper insights.
this first visualization workshop serves as an insightful introduction to the power of ggplot. The virtual workshop will guide participants through the art of crafting compelling visualizations that convey complex insights and stories. We will start with explaining why we should care about visualizations. By understanding the "why" behind visualization, we can gain an appreciation for its pivotal role in modern data analysis.
Once a month we host a volunteer event and open house for the ASU Community to come and learn more about our programs at Garden Commons. It is also an opportunity to roll up your sleeves and volunteer to help with our garden tasks from planting, weeding, harvesting, and watering. We provide all necessary tools and training. The garden is maintained by ASU students and all produce is distributed through our weekly Farm Stand or donated to a local food pantry.
This 2-part series both introduces and explores key concepts in Artificial Intelligence. The aim is to understand applications, but also think through implications for your own research and professional interests. In each presentation and topic, we emphasize design, adoption, and ethics of AI systems.
Preparing responsibly open and accessible research data starts at the beginning of a project and continues through its completion. In this presentation, Matthew Harp, Research Data Initiatives Librarian, will provide standard practices and recommendations from planning to publishing that support transparent, open, and reproducible research.