| Paper | Text type | Feature extraction | Model type | Performance measure |
| [13] | Professional newspaper | Stock data | NB | Accuracy | [14] | Professional newspaper | Stock data | SVM | Accuracy | [15] | Message board | Stock data | Regression | Correlation coefficient | [16] | PRNewswire | Stock data | KNN, SVM | Accuracy, F1-score | [17] | Aggregate news | Stock data, bag-of-words | SVR | MSE, accuracy | [18] | Corporate disclosures | Stock data, bag-of-words | Multiple | Accuracy, recall, precision, F1-score | [19] | Financial news | Stock data, sentiment | DT | Accuracy, recall, precision, F1-score | [20] | Web media | Stock data, bag-of-words. | SVR | Accuracy, recall, precision, F1-score | [21] | Mixed type | Stock data, bag-of-words sentiment, | SVR | RMSE, accuracy, precision | [22] | Message board | Stock data, sentiment | SVM | Accuracy
| [23] | Mixed type | Stock data, technical indicators, sentiment | ANN, SVM, DT | Accuracy, AUC, F1-score, precision
| [24] | None | Stock data | Regression | Correlation coefficient | [25] | Media news | Stock data | Regression | Correlation coefficient |
| Our financial expert system | Financial news | Stock data, technical indicators, bag-of-words, syntax | Multiple | Accuracy, F1-score
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