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Root number
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482372 |
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Semester
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FS2024 |
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Type of course
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Block Course |
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Allocation to subject
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Communication and Media Sciences |
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Type of exam
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Seminar paper |
| Title |
Text as Data and Automated Content Analysis |
| Description |
Lectured by Ernesto de León
How can computational tools be used to extract meaning and measurements from large volumes of text? This blockseminar focuses on providing students with the tools to conduct text-as-data analysis, allowing them to analyze large corpora of documents quickly and reliably through the R software tool. While the practical examples will focus on classical communication science topics (such as classifying news articles by topic and extracting sentiment from tweets), such tools can be applied to a wide range of settings, including commercial online reviews and legal documents.
Practically, students will first be introduced to the basic functioning of R, followed by simpler automated content analysis tools such as dictionaries and sentiment analysis, to then explore the more complex applied supervised and unsupervised machine learning methods. While no previous experience with R is needed, any experience with coding, in general, is helpful.
Please note that you will need to bring a laptop for the course (a tablet is not enough).
Inscription:
from January 15th 2024 (08:00 p.m.) onwards via ILIAS
Form of Implementation: Present |
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ILIAS-Link (Learning resource for course)
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No registration/deregistration in CTS (Admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Dr.
Ernesto de León, Institute of Communication and Media Studies (icmb) ✉
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Prof. Dr.
Silke Adam, Institute of Communication and Media Studies (icmb) ✉
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ECTS
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6 |
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Recognition as optional course possible
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No |
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Grading
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1 to 6 |
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| Dates |
Monday 19/2/2024 09:15-17:00
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Tuesday 20/2/2024 09:15-17:00
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Wednesday 21/2/2024 09:15-17:00
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Thursday 22/2/2024 09:15-17:00
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Friday 23/2/2024 09:15-17:00
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Wednesday 13/3/2024 23:50-23:55
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| Rooms |
Kursraum 028, Hauptgebäude H4
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Seminarraum 331, Hauptgebäude H4
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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