Summary of Dhoroni: Exploring Bengali Climate Change and Environmental Views with a Multi-perspective News Dataset and Natural Language Processing, by Azmine Toushik Wasi et al.
Dhoroni: Exploring Bengali Climate Change and Environmental Views with a Multi-Perspective News Dataset and Natural Language Processing
by Azmine Toushik Wasi, Wahid Faisal, Taj Ahmad, Abdur Rahman, Mst Rafia Islam
First submitted to arxiv on: 22 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Computers and Society (cs.CY); Machine Learning (cs.LG); Applications (stat.AP)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces Dhoroni, a novel Bengali-language dataset for climate change and environmental news articles, aiming to address the lack of linguistic representation on international stages. The dataset comprises 2300 annotated Bangla news articles, offering perspectives such as political influence, scientific/statistical data, authenticity, stance detection, and stakeholder involvement. The authors also present an exploratory analysis of Dhoroni and introduce a novel baseline model family, BanglaBERT-Dhoroni, fine-tuned on the dataset for climate and environmental opinion detection in Bangla. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper creates a special Bengali-language dataset to help understand how people talk about climate change. It has 2300 news articles that are labeled with different perspectives like politics, science, and who’s involved. The researchers also made a new model called BanglaBERT-Dhoroni to analyze opinions on climate change in Bengali. |
