A high-precision catalogue of landslide events in China based on newstext mining with large language model

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Zhao Binru, Zhang Lulu, Liu Zhenxia, Wenchao Ma, Wang Jian, Sun Qiang, YU ZhaoYuan, Liu Zhenxia
DOI: 10.5281/zenodo.18504739
Cited by: 0

Abstract

This repository contains the source code and sample datasets for the paper A high-precision catalogue of landslide events in China based on newstext mining with large language model . The pipeline is designed to automate the extraction of landslide event information from unstructured news reports, perform spatial-temporal deduplication, and execute high-precision geocoding.

Fields of Study & Subjects

Landslides and related hazards Topic Modeling Text and Document Classification Technologies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026
Language
EN