redBERT:基于BERT NLP模型的COVID-19在线讨论主题发现和深度情感分类模型

Q4 Computer Science

International Journal of Open Source Software and Processes Pub Date : 2021-03-03 DOI:10.1101/2021.03.02.21252747

C. Pandey

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引用次数: 4

摘要

使用自然语言处理(NLP)方法从社交媒体上发现围绕COVID-19的各种问题和情绪，并在大范围恐慌的情况下更深入地了解波动的公众舆论，从而在基于主题建模的自动提取COVID-19相关讨论的情绪分析器的帮助下指导改进决策。此外，将BERT模型用于COVID-19 Reddit评论的情感分类。这些发现揭示了研究趋势和使用计算技术在痛苦时期评估人类心理的重要性。

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redBERT: A Topic Discovery and Deep SentimentClassification Model on COVID-19 OnlineDiscussions Using BERT NLP Model

A Natural Language Processing (NLP) method was used to uncover various issues and sentiments surrounding COVID-19 from social media and get a deeper understanding of fluctuating public opinion in situations of wide-scale panic to guide improved decision making with the help of a sentiment analyser created for the automated extraction of COVID-19 related discussions based on topic modelling. Moreover, the BERT model was used for the sentiment classification of COVID-19 Reddit comments. These findings shed light on the importance of studying trends and using computational techniques to assess human psyche in times of distress.

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来源期刊

International Journal of Open Source Software and Processes Computer Science-Software

CiteScore

1.90

自引率

0.00%

发文量

期刊介绍： The International Journal of Open Source Software and Processes (IJOSSP) publishes high-quality peer-reviewed and original research articles on the large field of open source software and processes. This wide area entails many intriguing question and facets, including the special development process performed by a large number of geographically dispersed programmers, community issues like coordination and communication, motivations of the participants, and also economic and legal issues. Beyond this topic, open source software is an example of a highly distributed innovation process led by the users. Therefore, many aspects have relevance beyond the realm of software and its development. In this tradition, IJOSSP also publishes papers on these topics. IJOSSP is a multi-disciplinary outlet, and welcomes submissions from all relevant fields of research and applying a multitude of research approaches.