nlp:nlp_for_environmental_issues

Table of Contents

NLP for Environmental Issues

NLP for Environmental Issues

Papers

Wu 2019 - Application of Natural Language Processing in Environmental Protection Industry Based on Monte Carlo Tree Applies NLP to extract the data in environmental impact assessment documents (unstructured text), which is time-consuming and resource-intensive work.
Sarkar et al 2020 - Social Media Attributions in the Context of Water Crisis
Friederich et al 2021 - Automated Identification of Climate Risk Disclosures in Annual Corporate Reports
Planas et al 2022 - Beyond modeling: NLP Pipeline for efficient environmental policy analysis
Przybyla &Shardlow 2022 - Using NLP to quantify the environmental cost and diversity benefits of in-person NLP conferences
Sesamm 2022 - How Organizations Are Using NLP To Detect Greenwashing (blog post)

Workshops and Conferences

ClimateNLP 2024

Related Pages

nlp/nlp_for_environmental_issues.txt · Last modified: 2025/01/17 21:22 by jmflanig