Machine learning approaches to analysing textual injury surveillance data: A systematic review
The use of narrative text for injury surveillance research: A systematic review
Analyzing passengers’ emotions following flight delays- a 2011–2019 case study on SKYTRAX comments
Driver performance while text messaging using handheld and in-vehicle systems
College students’ prevalence and perceptions of text messaging while driving
How unsafe acts occur: an automatic text mining study
Construction accident narrative classification: An evaluation of text mining techniques
The potential of social media in delivering transport policy goals
Research topics and trends in the maritime transport: A structural topic model
Assessing the use of UAS-related terms in ASRS using Seed Topic Modeling
Risk assessment of inland waterborne transportation using data mining
Narrative text analysis of Kentucky tractor fatality reports
Children Dictating a Story: Is Together Better?
Bayesian decision support for coding occupational injury data
Sustainability disclosure for container shipping: A text-mining approach
Near-miss narratives from the fire service: A Bayesian analysis
Identification and analysis of misclassified work-zone crashes using text mining techniques
Shipping sentiment and the dry bulk shipping freight market: New evidence from newspaper coverage
Listen to E-scooter riders: Mining rider satisfaction factors from app store reviews
Work-related ladder fall fractures: Identification and diagnosis validation using narrative text
What do users want from transit? Qualitative analysis of current and potential users' perceptions
What prompts the adoption of car restriction policies among Chinese cities
Using visual analytics to make sense of railway Close Calls
Analysis of Fire-Accident Factors Using Big-Data Analysis Method for Construction Areas
Analysis of Fire-Accident Factors Using Big-Data Analysis Method for Construction Areas
Gender differences in psychosocial predictors of texting while driving
Assessing the Use of UAS-Related Terms in ASRS Using Seed Topic Modeling
Assessing the use of UAS-related terms in ASRS using Seed Topic Modeling
An improved text mining-based space mission risk classification approach