Published July 23, 2026 | Version v1

Uncovering Patterns in Student Exam Feedback: An NLP Approach (Code)

Authors/Creators

  • 1. ROR icon Technical University of Munich

Description

Code repository for my B.Sc Thesis analyzing student exam complaints and staff responses using preprocessing, exploratory BERTopic topic modeling, hybrid zero-shot plus rule-based classification, text feature extraction, validation utilities, descriptive association analysis, and exam-context analysis.

The public archive contains code and documentation only. Raw complaint data, exam exports, manual-label files, generated row-level outputs, and student-level derived datasets are not publicly available. Access is restricted and may be granted only under institutional authorization and applicable data-protection requirements.

Files

ExamComplaintNLP-public-2026-07-23.zip

Files (2.1 MB)

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