Crossmark

Sentiment analysis and spam detection in short informal text using learning classifier systems

Crossref DOI link: https://doi.org/10.1007/s00500-017-2729-x

Published Online: 2017-07-15

Published Print: 2018-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Arif, Muhammad Hassan

Li, Jianxin

Iqbal, Muhammad

Liu, Kaixu
Funding

Funding for this research was provided by:

NSFC program (61472022, 61421003)

SKLSDE (SKLSDE-2016ZX-11)
License Information

Text and Data Mining valid from 2017-07-15