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

@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}
}
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 clustering Twitter events into different types based on their shape, which captures the varying dynamics of information propagation through… CONTINUE READING
1 Citations
47 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 47 references

The role of financial economics in securities fraud cases: Applications at the securities and exchange commission,

  • M. L. Mitchell, J. M. Netter
  • The Business Lawyer, vol. 49,
  • 1994
Highly Influential
3 Excerpts

Correlation between stock prices and polarity of companies performance in tweets: a crf-based approach,

  • E. Shabunina
  • 1st International Symposium on Web AlGorithms,
  • 2015
1 Excerpt

News or noise ? using twitter to identify and understand companyspecific news flow

  • P. G. Sandner, A. Tumasjan, I. M. Welpe
  • Journal of Business Finance and Accounting
  • 2014

Similar Papers

Loading similar papers…