Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool
<p><strong>Replication package for our paper </strong><a href="https://arxiv.org/abs/2212.06540">Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool</a></p> <p>It contains the following files:</p> <ol> <li>Our data set of 432,411 news headlines annotated as being environmental-, governance-, or social-related. We encourage fellow researchers to use the corpus as a benchmark for other ESG-relevant NLP tasks.</li> <li>Code/Notebooks that we used for the training and evaluation of our company detection, ESG classification, and sentiment models</li> <li>Full tables detailing the results of all experiments performed </li> </ol>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
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