Summary: | 碩士 === 國立交通大學 === 資訊管理研究所 === 105 === In the past, people hold their unused cash at central banks and hope to receive a small amount of interest in return. But with negative interest rates, central banks charge a fee instead. From European Central Bank to Japan’s central bank, negative interest rates policy has become a trend around the world. Because of that, people tend to spend their money on investment instead of saving. On the other hand, increasing numbers of people are using social media to express their personal experiences on investment. Recently, these plentiful user-generated data sources have been utilized promisingly by investors for portfolio creation. In this research, we propose a social intelligence mechanism that can extract and consolidate the reviews expressed via social networks and derive a portfolio to help users make decisions on investment by analyzing the reviewers' knowledge and authority and their opinion sentiment toward the investment target. The experimental results obtained using eToro.com show that the proposed mechanism outperforms other benchmark approaches in market.
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