LIPI在FinNLP-2022 ERAI任务:集成句子变形以评估在线金融帖子的最大可能利润和损失

Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP) Pub Date : 1900-01-01 DOI:10.18653/v1/2022.finnlp-1.13

Sohom Ghosh, S. Naskar

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引用次数: 1

摘要

利用社交媒体的见解来做投资决策已经成为主流。然而，在当今信息爆炸的时代，挖掘高质量的社交媒体帖子是必不可少的。FinNLP-2022 ERAI任务涉及评估与金融相关的社交媒体帖子的最大可能利润(MPP)和最大可能损失(ML)。在本文中，我们介绍了我们的团队LIPI的方法。我们使用了一系列的句子转换器来完善这些帖子。不像其他团队在不同的指标上有不同的表现，我们的系统一直表现良好。我们的代码可以在这里获得https://github.com/sohomghosh/LIPI_ERAI_ FinNLP_EMNLP- 2022/

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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LIPI at the FinNLP-2022 ERAI Task: Ensembling Sentence Transformers for Assessing Maximum Possible Profit and Loss from Online Financial Posts

Using insights from social media for making investment decisions has become mainstream. However, in the current era of information ex- plosion, it is essential to mine high-quality so- cial media posts. The FinNLP-2022 ERAI task deals with assessing Maximum Possible Profit (MPP) and Maximum Loss (ML) from social me- dia posts relating to finance. In this paper, we present our team LIPI’s approach. We ensem- bled a range of Sentence Transformers to quan- tify these posts. Unlike other teams with vary- ing performances across different metrics, our system performs consistently well. Our code is available here https://github.com/sohomghosh/LIPI_ERAI_ FinNLP_EMNLP- 2022/

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Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP)

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