In Quest of Significance: Identifying Types of Twitter Sentiment Events that Predict Spikes in Sales

Abstract

We study the power of Twitter events to predict consumer sales events by analysing sales for 75 companies from the retail sector and over 150 million tweets mentioning those companies along with their sentiment. We suggest an approach for events identification on Twitter extending existing methodologies of event study. We also propose a robust method for… (More)

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Cite this paper

@article{Kolchyna2015InQO, title={In Quest of Significance: Identifying Types of Twitter Sentiment Events that Predict Spikes in Sales}, author={Olga Kolchyna and Th{\'a}rsis Tuani Pinto Souza and Tomaso Aste and Philip C. Treleaven}, journal={CoRR}, year={2015}, volume={abs/1508.03981} }