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

This repository contains the source code and sample datasets for the paper A high-precision catalogue of landslide events in China based on news text 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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-06
DOI
https://doi.org/10.5281/zenodo.18505110
Primary Topic
Public Relations and Crisis Communication
Type
article
Field-Weighted Citation Impact
0.00
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article

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

YU ZhaoYuan, Zhenxia Liu, Zhao Binru, Sun Qiang et al.
Zenodo (CERN European Organization for Nuclear Research)
Public Relations and Crisis Communication
article

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

YU ZhaoYuan, Zhenxia Liu, Zhao Binru, Sun Qiang, Ma Wenchao, Wang Jian, Yuan Linwang, Zhang Lulu
article en

Abstract

This repository contains the source code and sample datasets for the paper A high-precision catalogue of landslide events in China based on news text 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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 66%
Public Relations and Crisis Communication
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