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Analyzing relationships between latent topics in autonomous vehicle crash narratives and crash severity using natural language processing techniques and explainable XGBoost

Research article (Accident Analysis & Prevention, 2024) · cited 25× · AI/ML
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Analyzing relationships between latent topics in autonomous vehicle crash narratives and crash severity using natural language processing techniques and explainable XGBoost

Summary

Analyzing relationships between latent topics in autonomous vehicle crash narratives and crash severity using natural language processing techniques and explainable XGBoost is a scholarly article[1].

Key Facts

  • Analyzing relationships between latent topics in autonomous vehicle crash narratives and crash severity using natural language processing techniques and explainable XGBoost's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Analyzing relationships between latent topics in autonomous vehicle crash narratives and crash severity using natural language processing techniques and explainable XGBoost. Retrieved May 24, 2026, from https://4ort.xyz/entity/analyzing-relationships-between-latent-topics-in-autonomous-vehicle-crash-narratives-and-crash-severity-using-natural-la
MLA “Analyzing relationships between latent topics in autonomous vehicle crash narratives and crash severity using natural language processing techniques and explainable XGBoost.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analyzing-relationships-between-latent-topics-in-autonomous-vehicle-crash-narratives-and-crash-severity-using-natural-la.
BibTeX @misc{4ortxyz_analyzing-relationships-between-latent-topics-in-autonomous-vehicle-crash-narratives-and-crash-severity-using-natural-la_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analyzing relationships between latent topics in autonomous vehicle crash narratives and crash severity using natural language processing techniques and explainable XGBoost}}, year = {2026}, url = {https://4ort.xyz/entity/analyzing-relationships-between-latent-topics-in-autonomous-vehicle-crash-narratives-and-crash-severity-using-natural-la}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analyzing relationships between latent topics in autonomous vehicle crash narratives and crash severity using natural language processing techniques and explainable XGBoost — https://4ort.xyz/entity/analyzing-relationships-between-latent-topics-in-autonomous-vehicle-crash-narratives-and-crash-severity-using-natural-la (retrieved 2026-05-24)

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