2015
DOI: 10.1371/journal.pone.0123129
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Public Mood and Consumption Choices: Evidence from Sales of Sony Cameras on Taobao

Abstract: Previous researchers have tried to predict social and economic phenomena with indicators of public mood, which were extracted from online data. This method has been proved to be feasible in many areas such as financial markets, economic operations and even national suicide numbers. However, few previous researches have examined the relationship between public mood and consumption choices at society level. The present study paid attention to the “Diaoyu Island” event, and extracted Chinese public mood data towa… Show more

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Cited by 5 publications
(2 citation statements)
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“…To uncover such information, statistical analysis, sentiment analysis and machine learning algorithms are applied (e.g. Ma and Zhang 2015;Cui et al 2018). Using these methods enables companies to integrate different social media data, including volume-based indicators (Ma and Zhang 2015), sentiment scores (Sodero and Rabinovich 2017;Lau et al 2018;Yuan et al 2018), video information (Papanagnou and Matthews-Amune 2018) and mixed indicators (Cui et al 2018;Hou et al 2017;Chong et al 2016;See-To and Ngai 2018;Chong et al 2017) into their current forecasting systems to achieve a more accurate and responsive demand estimation.…”
Section: Demand Forecasting and Inventory Managementmentioning
confidence: 99%
“…To uncover such information, statistical analysis, sentiment analysis and machine learning algorithms are applied (e.g. Ma and Zhang 2015;Cui et al 2018). Using these methods enables companies to integrate different social media data, including volume-based indicators (Ma and Zhang 2015), sentiment scores (Sodero and Rabinovich 2017;Lau et al 2018;Yuan et al 2018), video information (Papanagnou and Matthews-Amune 2018) and mixed indicators (Cui et al 2018;Hou et al 2017;Chong et al 2016;See-To and Ngai 2018;Chong et al 2017) into their current forecasting systems to achieve a more accurate and responsive demand estimation.…”
Section: Demand Forecasting and Inventory Managementmentioning
confidence: 99%
“…The POS data accumulated over a specific time period enable the study of dynamic characteristics such as changes in the relationships between competing products, time series of sales quantities [ 4 ] and its fluctuations [ 5 , 6 ]. Companies engage in advertising, price cuts, and other promotions, as well as sales on certain weekdays or days of the month, all of which have major impacts on increases and decreases in sales.…”
Section: Introductionmentioning
confidence: 99%