论文标题
Web 3.0采用行为：PLS-SEM和情感分析
Web 3.0 Adoption Behavior: PLS-SEM and Sentiment Analysis
论文作者
论文摘要
Web 3.0被认为是Internet的未来，在该Internet中，权力下放，用户个性化和隐私保护将是Internet的主要方面。这项研究工作的目的是阐明基于部分最小二乘结构方程建模（PLS-SEM）和Twitter情感分析的多分析方法的采用行为。一个理论框架以绩效预期（PE），电子词（EWOM）和数字灵活性（DD）为中心，以Web 3.0采用的行为意图（INT）为基础。通过在线问卷收集了被调查的数据，并通过PLS-SEM分析了167个回答。尽管Rapidminer中的Vader情感分析工具分析了3,989条Web3的推文。 PLS-SEM结果表明，DD和EWOM具有重大影响，而PE对INT没有影响。此外，这些结果也通过PLS-PREDICT方法验证。虽然情绪分析探讨了Web 3.0上有56％的推文是积极的，而7％的人在剩下的情况下描绘了负面情绪。这种推论本质上是新颖的，也是网络信息学的创新性增加，可以支持利益相关者建立Web技术集成
Web 3.0 is considered as future of Internet where decentralization, user personalization and privacy protection would be the main aspects of Internet. Aim of this research work is to elucidate the adoption behavior of Web 3.0through a multi-analytical approach based on Partial Least Squares Structural Equation Modelling (PLS-SEM) and Twitter sentiment analysis. A theoretical framework centered on Performance Expectancy (PE), Electronic Word-of-Mouth (eWOM) and Digital Dexterity (DD), was hypothesized towards Behavioral Intention (INT) of the Web 3.0 adoption. Surveyed data were collected through online questionnaires and 167 responses were analyzed through PLS-SEM. While 3,989 tweets of Web3 were analyzed by VADER sentiment analysis tool in RapidMiner. PLS-SEM results showed that DD and eWOM had significant impact while PE had no effect on INT. Moreover, these results were also validated by PLS-Predict method. While sentiment analysis explored that 56% tweets on Web 3.0 were positive in sense and 7% depicted negative sentiment while remaining were neutral. Such inferences are novel in nature and an innovative addition to web informatics and could support the stakeholders towards web technology integration
