{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/dhoroni-exploring-bengali-climate-change-and","title":"Dhoroni: Exploring Bengali Climate Change and Environmental Views with a Multi-Perspective News Dataset and Natural Language Processing","arxiv_id":"2410.17225","date":"2024-10-22","proceeding":null,"authors":["Azmine Toushik Wasi","Wahid Faisal","Taj Ahmad","Abdur Rahman","Mst Rafia Islam"],"abstract":"Climate change poses critical challenges globally, disproportionately affecting low-income countries that often lack resources and linguistic representation on the international stage. Despite Bangladesh's status as one of the most vulnerable nations to climate impacts, research gaps persist in Bengali-language studies related to climate change and NLP. To address this disparity, we introduce Dhoroni, a novel Bengali (Bangla) climate change and environmental news dataset, comprising a 2300 annotated Bangla news articles, offering multiple perspectives such as political influence, scientific/statistical data, authenticity, stance detection, and stakeholder involvement. Furthermore, we present an in-depth exploratory analysis of Dhoroni and introduce BanglaBERT-Dhoroni family, a novel baseline model family for climate and environmental opinion detection in Bangla, fine-tuned on our dataset. This research contributes significantly to enhancing accessibility and analysis of climate discourse in Bengali (Bangla), addressing crucial communication and research gaps in climate-impacted regions like Bangladesh with 180 million people.","url_abs":"https://arxiv.org/abs/2410.17225v2","url_pdf":"https://arxiv.org/pdf/2410.17225v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"dhoroni-exploring-bengali-climate-change-and","repo_url":"https://github.com/ciol-researchlab/Dhoroni","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"authority-involvement-detection","task_name":"Authority Involvement Detection"},{"task_slug":"data-sources-detection","task_name":"Data Sources Detection"},{"task_slug":"detecting-climate-environmental-topics","task_name":"Detecting Climate/Environmental Topics"},{"task_slug":"impacted-location-detection","task_name":"Impacted Location Detection"},{"task_slug":"news-authenticity-identification","task_name":"News Authenticity Identification"},{"task_slug":"news-target-detection","task_name":"News Target Detection"},{"task_slug":"political-influence-detection","task_name":"Political Influence Detection"},{"task_slug":"scientific-data-usage-detection","task_name":"Scientific Data Usage Detection"},{"task_slug":"stance-detection","task_name":"Stance Detection"},{"task_slug":"statistical-data-usage-detection","task_name":"Statistical Data Usage Detection"}],"methods":[{"method_slug":"adam","method_name":"Adam"},{"method_slug":"attention","method_name":"Attention"},{"method_slug":"attention-dropout","method_name":"Attention Dropout"},{"method_slug":"bert","method_name":"BERT"},{"method_slug":"dense-connections","method_name":"Dense Connections"},{"method_slug":"dropout","method_name":"Dropout"},{"method_slug":"layer-normalization","method_name":"Layer Normalization"},{"method_slug":"linear-layer","method_name":"Linear Layer"},{"method_slug":"linear-warmup-with-linear-decay","method_name":"Linear Warmup With Linear Decay"},{"method_slug":"multi-head-attention","method_name":"Multi-Head Attention"},{"method_slug":"residual-connection","method_name":"Residual Connection"},{"method_slug":"softmax","method_name":"Softmax"},{"method_slug":"weight-decay","method_name":"Weight Decay"},{"method_slug":"wordpiece","method_name":"WordPiece"}],"datasets_introduced":[{"slug":"dhoroni","name":"Dhoroni","full_name":"Dhoroni: A Multi-Perspective Bengali Climate Change and Environmental News Dataset"}],"methods_introduced":[],"results":[{"leaderboard":"/sota/stance-detection-on-dhoroni","task":"Stance Detection","dataset":"Dhoroni","model":"BanglaBERT-Dhoroni","rank_in_archive_order":1,"of":1,"metrics":{"Accuracy":"0.635","F1 Score":"0.308","Precision":"0.426","Recall":"0.295"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}