摘要：Investor sentiment tends to show systemic bias on the market, and exerts a significant impact on future market fluctuations, which tends to form an amplified feedback effect. This paper selects three different types of data, namely the emotional text data, the volatility of the stock price and the turnover rate, and other multi-index comprehensive data. Then, this paper formulates different types of investor sentiment indexes through different types of data. From fitting effect of three different types investor sentiment, three different types of investor sentiment index and stock price index correlation to compare the reliability of investor sentiment index. The findings are as follows: First, from the perspective of model fitting, the emotional text-based sentiment index performs better and the model is more robust. Second, from the perspective of market correlation, the text-based sentiment index has the strongest correlation with the stock market. Based on these, the investor sentiment index compiled based on emotional text data more fully reflects investor sentiment.
