A fine-tuned financial sentiment analysis model based on **ModernBERT**, trained on synthetic and real financial data cleaned through an automated AI agentic pipeline. The model covers diverse financial domains including news, tweets, crypto, and macroeconomics, making it the most general-purpose financial sentiment classifier. Benchmark results show superior performance with up to 48% accuracy improvement over existing models across multiple financial datasets. For private API access or access to even more powerful financial models, contact us at **info@tabularis.ai**

Text analysis

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multilingual-emotion-classification

tabularisai

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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multilingual-sentiment-analysis

tabularisai

](https://discord.gg/sznxwdqBXj) --> [](https://discord.gg/sznxwdqBXj) - 2025/8: Major model update +1 new language: **Swahili**! Also, general improvements accross all languages. - 2025/7: We’ve just released ModernFinBERT, a model we’ve been working on for a while. It’s built on the ModernBERT architecture and trained on a mix of real and synthetic data, with LLM-based label correction applied to public datasets to fix human annotation errors. It’s performing well across a range of benchmarks — in some cases improving accuracy by up to 48% over existing models like FinBERT. You can check it out here on Hugging Face: 👉 https://huggingface.co/tabularisai/ModernFinBERT

Text analysis

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Qwen3-0.3B-distil

tabularisai

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Text generation

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robust-sentiment-analysis

tabularisai

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Text analysis

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