6 papers
Is BERTopic Better than PLSA for Extracting Key Topics in Aviation Safety Reports?
Aziida Nanyonga, Joiner Keith, Turhan Ugur +1
This study compares the effectiveness of BERTopic and Probabilistic Latent Semantic Analysis (PLSA) in extracting meaningful topics from aviation safety reports aiming to enhance t…
Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques
Aziida Nanyonga, Hassan Wasswa, Ugur Turhan +2
Aviation safety is a global concern, requiring detailed investigations into incidents to understand contributing factors comprehensively. This study uses the National Transportatio…
Natural Language Processing and Deep Learning Models to Classify Phase of Flight in Aviation Safety Occurrences
Aziida Nanyonga, Hassan Wasswa, Oleksandra Molloy +2
The air transport system recognizes the criticality of safety, as even minor anomalies can have severe consequences. Reporting accidents and incidents play a vital role in identify…
Sequential Classification of Aviation Safety Occurrences with Natural Language Processing
Aziida Nanyonga, Hassan Wasswa, Ugur Turhan +2
Safety is a critical aspect of the air transport system given even slight operational anomalies can result in serious consequences. To reduce the chances of aviation safety occurre…
Applications of natural language processing in aviation safety: A review and qualitative analysis
Aziida Nanyonga, Keith Joiner, Ugur Turhan +1
This study explores using Natural Language Processing in aviation safety, focusing on machine learning algorithms to enhance safety measures. There are currently May 2024, 34 Scopu…
Comparative Analysis of Topic Modeling Techniques on ATSB Text Narratives Using Natural Language Processing
Aziida Nanyonga, Hassan Wasswa, Ugur Turhan +2
Improvements in aviation safety analysis call for innovative techniques to extract valuable insights from the abundance of textual data available in accident reports. This paper ex…