Computer ScienceBusinessEconomics

Thomas Renault

2019.9.18Digital Finance

DOI: 10.1007/s42521-019-00014-x

tlooto Summary

It is found that adding bigrams and emojis significantly improve sentiment classification performance and more complex and time-consuming machine learning methods, such as random forests or neural networks, do not improve the accuracy of the classification.

Abstract

Abstract is not available.

Citation format

RENAULT, Thomas. Sentiment analysis and machine learning in finance: A comparison of methods and models on one million messages. Digital Finance, 2019, 2: 1–13.