基于深度学习和长短期记忆的社交网络融资影响分析
IF 2.3
4区 管理学
Q3 BUSINESS
引用次数: 0
摘要
基于互联网文本数据预测点对点借贷（P2P）平台风险，规避社交网络融资风险，提高社交网络融资安全性。首先，对第三方 P2P 平台的交易和评论文本信息进行情绪变化时间序列分类。其次，利用格兰杰因果关系检验法验证情绪变化时间序列与交易量之间的相关性。最后，提出基于投资者情绪变化的长短期记忆（LSTM）预测模型，以情绪变化作为社交网络融资规避风险的参考，预测 P2P 平台的交易量。结果表明，P2P 平台交易量与负面情绪之间的 Pearson 相关系数值为-0.2088，P 值小于 1%，表明情绪变化与交易量之间存在相关性。预测值与实际值的皮尔逊相关系数为 0.7995，均方误差为 0.2190，拟合度为 0.6532。这表明 LSTM 预测模型能够准确预测 P2P 平台的交易量，与其他预测模型相比性能良好。本文章由计算机程序翻译，如有差异，请以英文原文为准。
Analysis of the impact of social network financing based on deep learning and long short-term memory
The risk of peer to peer lending (P2P) platform is predicted based on text data on the Internet to avoid the risk of social network financing and improve the security of social network financing. First, the transaction and review text information of a third-party P2P platform are classified for the time series of emotional changes. Second, the Granger causal relation test is used to verify the correlation between the time series of emotional changes and trading volume. Finally, a long short-term memory (LSTM) forecasting model is proposed based on investors’ emotional changes to predict the trading volume of P2P platforms using emotional changes as a reference for social network financing to avoid risks. The results show that the value of Pearson correlation coefficient between the trading volume of P2P platforms and negative emotions is -0.2088, with a P value less than 1%, indicating a correlation between emotional changes and trading volume. The Pearson correlation coefficient between the predicted and actual values is 0.7995, whereas the mean square error is 0.2190 with a fitting degree of 0.6532. This shows that the LSTM forecasting model can accurately predict the trading volume of P2P platforms with good performance in comparison with other forecasting models.
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来源期刊
CiteScore
6.20
自引率
11.10%
发文量
18
期刊介绍：
Nowadays, in the age of information technology and the internet, the creation and maintenance of business models has to consider the latest developments in information technology to ensure competitiveness and long-term success of the enterprise. The aim of Information Systems Management (ISM) is to integrate information technology into business models and business processes to explore its potential to meet the business goals. Many international journals in the field of information systems (IS) or information management (IM) focus primarily on the quantitative analysis of information systems phenomena, especially through the use of empirical studies. However, research on qualitative analysis, development, and deployment of information systems is not covered sufficiently by the existing international IS journals. Therefore, the journal Information Systems and e-Business Management (ISeB) focuses on the core tasks of Information Systems Management, the conceptual analysis, design, and deployment of information systems, as well as on all e-business related topics. 1. Editorial objective
The central aim of the journal ISeB is to publish original, well-written, self-contained contributions that elucidate novel research and innovation in information systems management and e-business which advance the field fundamentally and significantly. Published quarterly, the journal will:
- Provide a vibrant forum for both academicians and industry specialists to explore the information systems and e-business management field
- Bring innovative research on all aspects of information systems management from analytical, behavioral and technological perspectives
- Enable rapid dissemination of latest research and innovation, supported with a double-blind peer review process. 2. Nature of topics
The function of information systems management is the use of information technology (IT) to meet the information requirements of a company. Core tasks of ISM are the generation of project ideas (e.g. identification of business opportunities enabled by new information technologies), conceptual analysis, design, and integration of information systems.
Submissions to ISeB should have a clear business focus and use appropriate information systems methodologies. They should either be founded on theory or should have proven their value based on prototypes and their beneficial application in the field. The general applicability of the concepts presented is strictly required. Case studies are welcome, if the insights presented allow general applicability. Moreover, empirical studies are welcome if clear research questions with relevance to the field of information systems and e-business management are given and the studies are carried out correctly.
ISeB topics focus on (but are not restricted to) the following areas: - Information Modeling:
The central task of information systems modeling is the conceptual specification of information systems from the business point of view. Information modeling includes the development or the application of high-level modeling techniques used for conceptual modeling, e.g. event-driven process chain (EPC) for process modeling, entity-relationship model (ERM) for data modeling, and object-oriented methods like the unified modeling language (UML).
- Domain-Specific Information Systems:
Different industry domains (e.g. manufacturing, retailing, or finance) are characterized by different requirements to information systems that are reflected in different IS architectures for specific domains. The development and maintenance of information systems in an industry domain can be supported by these architectures. Either the development of generalizable domain-specific architectures or the employment of such architectures in practice can be discussed.
- E-Business Management (intra-organization al and inter-organizational information systems):
Possible sub-topics include the development and deployment of IS for electronic commerce and supply chain management, market places, new business scenarios enabled through new technologies. Based on a business strategy, submissions have to clearly state how the strategy can be operationalized using IS. - Information Systems Development:
The development and deployment of large-scale IS (e.g. enterprise resource planning software) requires the use of appropriate software engineering methodologies, procedure models, and project management. Possible research areas are the development of software engineering methodologies, procedure models, and the design of project management methods. Empirical studies on IS development may focus on the application of well-founded methods in practice.
- Information Technology Management:
The function of information technology management is the provision and operation of the technical infrastructure and the planning of the technical orientation of information systems in an enterprise. An important aspect is the impact of changing information systems on organizational structures and processes – and vice versa. In this context, the use of information technology to realize a business strategy efficiently can be analyzed.
- Latest Information Technology Developments:
Latest developments in information technology have to be evaluated to explore potentials to generate new business strategies. Current topics and trends to be evaluated for business use are e.g. business intelligence systems, agent technology, and workflow management systems. Officially cited as: Inf Syst E-Bus Manage
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