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pro vyhledávání: '"Saeed Pashazadeh"'
Autor:
Israa K. Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh, Mohammad Asadpour
Publikováno v:
Complexity, Vol 2023 (2023)
Some texts that are challenging to recognize on their own may become more understandable in a neighborhood of related texts with similar contexts. Motivated by this intuition, a novel deep text sentiment classification (DTSC) model is proposed to imp
Externí odkaz:
https://doaj.org/article/029ec855f5d84de48d696f3433bc385a
Autor:
Saeed Pashazadeh, Majid Hatami
Publikováno v:
International Journal of Computer Applications. 88:46-51
n approach for improving quality and performance of collaborative filtering-based recommender systems is proposed in this paper. A slight change on similarity metric is proposed. To obtain more accurate similarity measurement between two users, simil