Intro to Statistical Analysis using R – May 7, 2025
Session Description
May 7 2025 @ 11:30 am - 1:00 pm
In this class, we are going to take the named entities output from the Named Entity Recognition using LLMs class and apply a statistical model to analyze the data.
This class is taught by Zhuo Chen and runs on:
- Monday, May 5, 2025: 11:30 am – 1 pm ET
- Wednesday, May 7, 2025: 11:30 am – 1 pm ET
- Friday, May 9, 2025: 11:30 am – 1 pm ET
This class is open to anyone at a Constellate participating (or trialing) institution. No materials or software are needed. Register to attend in person or access the recording asynchronously.
Instructor: Zhuo Chen
Zhuo is a Text Analysis Instructor at Constellate. Zhuo holds a Ph.D. degree in Linguistics from the Graduate Center of the City University of New York. During her Ph.D., she has done textual analysis of child language data using Python and taught tutorials to undergraduate students.
Constellate Class FAQ:
What is text analysis? Text analysis is the process of examining text data computationally to uncover patterns, trends, or relationships within the content. For example, you could compare how frequently the term “mother” appears versus “father” in the context of foster care, and how this changes over time.
Why learn text analysis? From “big data” to ChatGPT, text analysis and large language models are changing the way we learn and do research. Text analysis is changing the nature of academic research. Is your institution ready? Constellate helps you get up to speed on text analysis and unlock new methods.
What is Constellate? Constellate, the new text and data analytics service from JSTOR and Portico, is the only text analysis platform that integrates access to scholarly content and open educational resources into a cloud-based lab to help faculty more easily and effectively teach text analysis and data skills.
What software do I need on my machine? None! The Constellate platform can be accessed entirely from your browser. You do not need to install any software on your computer.
What disciplines should be interested in text analysis? All! Text analysis research is done across all disciplines, from identifying the impact of genes on medicines, to tracking the development of new areas of research in history. Even more importantly, the computational literacy skills that come with text analysis are a future key requirement.
Do I need to bring any materials or install software on my computer? No!
