ABSTRACT
Finance-related discourse has an undisputed effect on the market. Investors with an information- age mindset no longer rely on single sources of traditional news, but migrate toward open-source materials, such as blogs or social media. The process of making correct investment decisions can be aided not only by a canon of explicit financial information, but also by insight into the underlying collective sentiments of financial sources. Specifically, in the wake of increasing information transparency and freedom of information, the proliferation of these financial texts and the study of their collective sentiments have aroused tremendous demand for more sophisticated sentiment analysis. In the last couple of years, business momentum has grown in the field of sentiment-based financial technology, or FinTech. However, although there is a huge amount of sentiment hidden in unstructured finance-related discourse, there are only a few analytic tools that can “listen” to voices in Chinese, and uncover the collective sentiment contained within.
