392268 Project: Understanding Emoji-Driven Communication in Social Media and Conversational Systems (Pj) (WiSe 2026/2027)
Contents, comment
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Depending on the number of students and the project scope, the project can also include:
• Development of data processing pipelines for large-scale analysis of emoji usage and co-occurrence patterns in social media data
• Implementation of models for emoji-aware sentiment or emotion classification
• Design and implementation of a chat-based experimental setup
• Evaluation of emotional clarity and misinterpretation in text-only vs. text+emoji conditionsUpon completion of this project, we will work hand in hand to publish the results in a well-established conference or journal in Human–Computer Interaction (HCI).
Requirements for participation, required level
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Requirements:
• Good programming skills in Python
• Basic knowledge of data analysis and/or machine learning
• Interest in human–computer interaction, social media, or affective computing
• (Preferably) experience with NLP, data analysis, or experimental study design
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| by appointment | n.V. | 12.10.2026-05.02.2027 | Nach Vereinbarung, online, CITEC oder R.1 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-P Project | Projekt | Ungraded examination
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Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
- Address:
- WS2026_392268@ekvv.uni-bielefeld.de
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- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Monday, June 22, 2026
- Last update times:
- Tuesday, May 26, 2026
- Last update rooms:
- Tuesday, May 26, 2026
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Department
- Faculty of Technology
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