An efficient preprocessing method for supervised sentiment analysis by converting sentences to numerical vectors: a twitter case study
Crossref DOI link: https://doi.org/10.1007/s11042-019-7586-4
Published Online: 2019-05-11
Published Print: 2019-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Sohrabi, Mohammad Karim
Hemmatian, Fatemeh
Text and Data Mining valid from 2019-05-11
Article History
Received: 10 May 2018
Revised: 18 January 2019
Accepted: 3 April 2019
First Online: 11 May 2019