Extracting Potentially High Profit Product Feature Groups by Using High Utility Pattern Mining and Aspect Based Sentiment Analysis
Crossref DOI link: https://doi.org/10.1007/978-3-030-04921-8_9
Published Online: 2019-01-19
Published Print: 2019
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Demir, Seyfullah
Alkan, Oznur
Cekinel, Firat
Karagoz, Pinar
Text and Data Mining valid from 2019-01-01
Chapter History
First Online: 19 January 2019