Presented By: Summer Institute in Survey Research Techniques
Summer Institute Course - Introduction to Text Analysis
Presented by Robyn Ferg

Introduction to Text Analysis
July 21-24, 2025
10:00am-11:30am EDT (M-Th)
Live Online via Zoom
In this two-week course, students will learn a variety of natural language processing methods for analyzing and extracting meaning from text data. The course will start with an introduction to text data, including text preprocessing and exploratory methods. The topics that follow will include machine learning models used for topic modeling, clustering, classification, sentiment analysis, and word embeddings. Students will also be introduced to web scraping. Considerations to both long and short texts of various subject matter. Class examples will be demonstrated primarily in R. This course assumes a bachelors-level background in Statistics or related field and knowledge of R or Python; no prior knowledge of text analysis is assumed.
Robyn Ferg is a senior statistician at Westat. Her doctoral and postdoctoral research focused on developing methods for extracting insights from social media data. She has taught graduate and short courses at the Joint Program in Survey Methodology (University of Maryland) and given talks on text analysis at the Census Bureau, University of Maryland, University of Michigan, Michigan State University, and several national and international conferences. She has published original research on this topic in several peer reviewed journals. She has a PhD in Statistics from the University of Michigan.
The Summer Institute in Survey Research Techniques provides rigorous and high quality graduate level training in all phases of survey research. The noncredit courses are open to all. The courses are live online via Zoom. Registration and payment are required. Course fees are based on the total number of hours assigned to each course, the hours are listed on the course description. The 2025 schedule lists additional courses. If you have any questions regarding the application process, please use the online contact form or email the Summer Institute at isr-summer@umich.edu .
The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since. The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business, public health, natural resources, law, medicine, nursing, social work, and many other domains of study.
July 21-24, 2025
10:00am-11:30am EDT (M-Th)
Live Online via Zoom
In this two-week course, students will learn a variety of natural language processing methods for analyzing and extracting meaning from text data. The course will start with an introduction to text data, including text preprocessing and exploratory methods. The topics that follow will include machine learning models used for topic modeling, clustering, classification, sentiment analysis, and word embeddings. Students will also be introduced to web scraping. Considerations to both long and short texts of various subject matter. Class examples will be demonstrated primarily in R. This course assumes a bachelors-level background in Statistics or related field and knowledge of R or Python; no prior knowledge of text analysis is assumed.
Robyn Ferg is a senior statistician at Westat. Her doctoral and postdoctoral research focused on developing methods for extracting insights from social media data. She has taught graduate and short courses at the Joint Program in Survey Methodology (University of Maryland) and given talks on text analysis at the Census Bureau, University of Maryland, University of Michigan, Michigan State University, and several national and international conferences. She has published original research on this topic in several peer reviewed journals. She has a PhD in Statistics from the University of Michigan.
The Summer Institute in Survey Research Techniques provides rigorous and high quality graduate level training in all phases of survey research. The noncredit courses are open to all. The courses are live online via Zoom. Registration and payment are required. Course fees are based on the total number of hours assigned to each course, the hours are listed on the course description. The 2025 schedule lists additional courses. If you have any questions regarding the application process, please use the online contact form or email the Summer Institute at isr-summer@umich.edu .
The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since. The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business, public health, natural resources, law, medicine, nursing, social work, and many other domains of study.