The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.
6783. Tools to Analyze Language
3.00 credits
Prerequisites: None.
Grading Basis: Graded
Focus on the applied use of text analysis tools to analyze the links between natural language and psychological processes.
Last Refreshed: 27-SEP-22 05.20.19.331028 AM
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| Term | Class Number | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Enrollment | Location | Credits | Grading Basis | Notes | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1223 9231 1 001 | Spring 2022 | 9231 | Storrs | In Person | Ramirez-Esparza, Nairan Paxton, Alexandra |
001 | Reg | TuTh 9:00am‑10:15am |
14/15 | 3.00 | Graded | The purpose of this course is to introduce students to the links between natural language and psychological processes. This course is much more applied than theoretical, and it will include a range of ethical, methodological, and practical considerations that researchers weigh when working with natural data. Students will learn to work with existing corpora and to build novel corpora, and they will learn to analyze natural language using a range of premade software (e.g., Linguistic Inquiry and Word Count) and programming tools in R (e.g., tidytext). Throughout the course, students will build toward a novel final project that includes a manuscript and scientific presentation. This class is valid for students' statistics certificate. |