使用双向转换的加密货币情绪分析

2023 3rd International Conference on Smart Data Intelligence (ICSMDI) Pub Date : 2023-03-01 DOI:10.1109/ICSMDI57622.2023.00032

Himanshu Dwivedi

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引用次数: 1

摘要

由于缺乏使用自然语言处理进行加密货币价格预测的研究，因此本文使用BERT(双向编码器表示)模型预测加密货币新闻文章的情绪。获得的文本数据是未标记的，它使用一个简洁的基于规则的模型进行标记，然后使用BERT将新闻情绪分类为“积极”、“消极”或“中性”，这可能有助于阅读加密货币市场的走势。

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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Cryptocurrency Sentiment Analysis using Bidirectional Transformation

This paper predicts sentiments of crypto currency news articles using BERT (Bidirectional Encoder Representation) model, as there is a lack of research in crypto currency price prediction using natural language processing. The text data obtained is unlabeled and it is labelled using a parsimonious rule-based model and then BERT is used to dassify news sentiment as “Positive”, “Negative” or “Neutral” which may be helpful in reading cryptocurrency market movement.

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来源期刊

2023 3rd International Conference on Smart Data Intelligence (ICSMDI)

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