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  • FinBERT: Financial Sentiment Analysis with BERT - GitHub
    FinBERT is a pre-trained NLP model to analyze sentiment of financial text It is built by further training the BERT language model in the finance domain, using a large financial corpus and thereby fine-tuning it for financial sentiment classification
  • Financial statement fraud detection using topic-driven financial . . .
    Unlike dictionary-based sentiment approaches, which rely on static lexicons that may miss evolving linguistic patterns, our TDFSA model integrates FinBERT-based topic modeling and sentiment analysis to capture more context-specific cues unique to financial disclosures
  • Financial sentiment analysis using FinBERT with application in . . .
    In this study, we integrate sentiment analysis within a financial framework by leveraging FinBERT, a fine-tuned BERT model specialized for financial text, to construct an advanced deep learning model based on Long Short-Term Memory (LSTM) networks
  • FinBERT: A Large Language Model for Extracting Information from . . .
    Our results show that FinBERT excels in identifying the positive or negative sentiment of sentences that other algorithms mislabel as neutral, likely because it uses contextual information in financial text
  • [细读经典]FinBERT-面向金融领域的预训练模型 - 知乎
    一，FinBERT (BERT for Financial Text Mining)是第一个通过在金融语料上使用多任务学习得到的特定领域的BERT，其可以把金融领域语料上的知识传递到下游金融文本相关的应用任务上； 二，FinBERT和标准BERT采用不同的训练目标函数。 本文设计或采用了6中自监督预训练任务，可以通过多任务自监督学习方法来训练，从而更有效地捕捉大规模预训练语料中的语言知识和语义信息； 三，在几个金融领域的基准集上执行了若干实验。 实验结果展示，FinBERT可以显著超越sota的效果：金融句子边界检测；金融情感分析；以及金融问答； 四，使用 Horovod框架 实现了FinBERT，以及使用了 混合精度。 （目前还没有）公开代码或者预训练的模型。
  • Advanced Financial Sentiment Analysis Using FinBERT to Explore . . .
    This research investigates the incorporation of sophisticated Natural Language Processing (NLP) methods in the intricate field of finance In particular, it uti
  • FinBERT: Financial Sentiment Analysis with Pre-trained . . .
    We introduce FinBERT, a language model based on BERT, to tackle NLP tasks in the financial domain Our results show improvement in every measured metric on current state-of-the-art results for two financial sentiment analysis datasets
  • How to Use FinBERT for Financial Text Analysis: Complete Implementation . . .
    Learn FinBERT implementation for financial sentiment analysis, earnings call processing, and market research with Python code examples and best practices
  • FinBERT | 金融文本BERT模型，可情感分析、识别ESG和 . . .
    我们发现，FinBERT 优于其他算法，以及 Google 的原始双向编码器表示形式来自 transformers (BERT) 模型，当训练样本量较小且文本中包含一般文本中不常用的金融词时，这种优势尤为突出。 FinBERT 在识别与环境、社会和治理问题相关的讨论方面也优于其他模型。
  • Enhancing Financial Sentiment Analysis with FinBERT and . . . - Springer
    In this work, we propose FinRoBERT-FSA, a fine-grained sentiment analysis approach that leverages the strengths of FinBERT, a domain-specific language model, and RoBERTa, known for its deep contextual understanding





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