Papers by Neşat Dereli
Convolutional Neural Networks for Financial Text Regression (P19-2)
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| Challenge: | Recent studies have defined forecasting financial volatility from annual reports as text regression problem. |
| Approach: | They propose to replace word features with word embedding vectors to remove lexicon dependency. |
| Outcome: | The proposed model provides more accurate volatility predictions than lexicon based models. |