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This project performs sentiment analysis on earnings call transcripts using the Loughran-McDonald (LM) dictionary. By analyzing the sentiment expressed in these calls, the project aims to uncover trends and insights related to company performance and…
This project performs sentiment analysis on earnings call transcripts using the Loughran-McDonald (LM) dictionary. By analyzing the sentiment expressed in these calls, the project aims to uncover trends and insights related to company performance and…
Source: GitHub API · observed Oct 11, 2026. Stars and forks are recorded counts. Repository code licenses may differ from dataset or model-weight licenses.
References explain how this resource entered the collection. They do not represent an endorsement.
Agent Trading Arena probes numerical understanding of LLM-based trading agents in a zero-sum market simulation
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FinMTEB is a finance-specific massive text embedding benchmark with 64 datasets across seven financial NLP task types
