Sentiment analysis and machine learning in finance: a comparison of methods and models on one million messages
Crossref DOI link: https://doi.org/10.1007/s42521-019-00014-x
Published Online: 2019-09-18
Published Print: 2020-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Renault, Thomas http://orcid.org/0000-0003-4838-4755
Text and Data Mining valid from 2019-09-18
Version of Record valid from 2019-09-18
Article History
Received: 20 March 2019
Accepted: 11 September 2019
First Online: 18 September 2019