Open ARTC-Doris opened 4 weeks ago
References: Dataset: https://www.openicpsr.org/openicpsr/project/113808/version/V1/view;jsessionid=00A7DA2DC5A8FBA3B9D74B40DED55ED7
Description: We examine the demand for wines in Sweden using five years of weekly data on sales, advertising, and expert reviews. The effect of a favorable review peaks in the week after publication with an increase in demand of 6 percent, and the effect remains significant for more than 20 weeks. We find small demand-enhancing effects of neutral reviews and no evidence of important negative effects from unfavorable reviews. Restrictions on the state-owned monopoly retailer and the exogenous timing of a subset of the reviews support a causal interpretation of the effects of reviews on demand.
Find a suitable open-source dataset, which contains both textual data / sentiment info and time-series demand/sales data. The purpose: use the dataset to build forecasting model taking into consideration of external factor of sentiment.