ECON 895: Special Topics in Economics

ECON 895-007: Text as Data
(Spring 2023)

04:30 PM to 07:10 PM M

Krug Hall 19

View in the schedule of classes

Section Information for Spring 2023

The availability of text data has exploded in recent times and so has the demand for analysis of that data. The goal of this course is to learn the fundamentals of quantitative analysis of text from a social science perspective. The emphasis is on applications and, while there will be some theoretical treatment of the topics at hand, the primary aim is to help students understand the types of questions we can ask with text and how to go about answering them. We will discuss how texts may be modeled as quantitative entities and how they might be compared. We will also cover supervised and unsupervised machine learning methods. Ultimately, our goal is to help everybody conduct their own text as data research projects and this seminar will hopefully provide the foundation on which more technical research can be built.

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Course Information from the University Catalog

Credits: 3

Topics vary according to interests of instructor. Emphasizes new areas of discipline. May be repeated within the term.
Specialized Designation: Topic Varies
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy, Graduate or Non-Degree.

Enrollment is limited to Graduate level students.

Schedule Type: Lec/Sem #1, Lec/Sem #2, Lec/Sem #3, Lec/Sem #4, Lec/Sem #5, Lec/Sem #6, Lec/Sem #7, Lec/Sem #8, Lec/Sem #9, Lecture, Sem/Lec #10, Sem/Lec #11, Sem/Lec #12, Sem/Lec #13, Sem/Lec #14, Sem/Lec #15, Sem/Lec #16, Sem/Lec #17, Sem/Lec #18
This course is graded on the Graduate Regular scale.

The University Catalog is the authoritative source for information on courses. The Schedule of Classes is the authoritative source for information on classes scheduled for this semester. See the Schedule for the most up-to-date information and see Patriot web to register for classes.