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Leveraging BERT Language Models for Multi-Lingual ESG Issue Identification
Environmental, Social, and Governance (ESG) has been used as a metric to measure the negative impacts and enhance positive outcomes of companies in areas such as the environment, society, and governance.
Using contextual sentence analysis models to recognize ESG concepts
For the second sub-task, we combine the RoBERTa model with a feed-forward multi-layer perceptron in order to extract the context of sentences and classify them.
Contextual Sentence Analysis for the Sentiment Prediction on Financial Data
Indeed, the combination of contextual sentence analysis with the financial and general sentiment dictionaries provided useful information to our model and allowed it to generate more reliable sentiment scores.
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