Sentiment analysis strategy was used to predict stock market index. Support vector machine was applied to construct predict model based on textual information (i.e., lexical information, sentimental words, and sentiment categories) extracted from social media and stock indicators. Experiment results show that the proposed method can obtain the best results, compared with many different predictive model.
