Wei Peng (Ph.D. in Communication, University of Southern California, 2006) is a Professor in the Department of Media and Information, Michigan State University. Her recent projects focus on using conversational agents or chatbots, digital games, and mobile apps for health promotion, health education, and social change. Location: Blocker 220 and Zoom Zoom ID: 97496884861Passcode: 923446 […]
This talk will delve into the use case of synthetic data for a developing need in the defense sector: detection of drones, also known as Unmanned Aerial Vehicles (UAVs).
Participants will understand what text mining is and why it’s valuable for social science research. They’ll learn how to prepare text data for analysis and perform basic text cleaning, learning about topics such as: Text mining applications in social sciences, text mining vs. traditional qualitative methods, the text mining pipeline, corpus, document, token, document-term matrix, […]
Organized by the Center for Teaching Excellence. This conversation-focused session invites participants to explore their experiences and questions about using AI in teaching and learning. After a brief overview of emerging practices and campus considerations, participants will engage in open discussion to share examples, concerns, and creative approaches to integrating AI tools in thoughtful, ethical […]
Participants will learn techniques for exploring and describing textual datasets, identifying patterns, and communicating findings through visualization. It will be one hour of theory and explanation of the concepts, and the last hour will be hands-on practice in Python. Key topics include: Interpreting exploratory findings in a social science context, word frequency analysis and comparative […]
Texas NLP Symposium is a one-day workshop featuring invited talks, oral presentations, and poster sessions. Our goal is to bring together NLP researchers across Texas to share and discuss ongoing or published research, as well as to foster future collaborations. Participants from outside Texas are also welcome.
Participants will learn how to train models to categorize texts based on labeled examples and understand evaluation metrics. It will be one hour of theory and explanation of the concepts, and the last hour will be hands-on practice in Python. Key topics include: Classification algorithms like Naive Bayes and Logistic Regression, Evaluation metrics such as accuracy, […]
Participants will learn how to identify latent themes in large text collections using unsupervised machine learning and how to interpret and validate these findings. It will be one hour of theory and explanation of the concepts, and the last hour will be hands-on practice in Python. Key topics include: Unsupervised learning, topic modeling concepts, Latent […]
