A semantic modeling-based NLP approach to sentiment analysis of film and television reviews
To address the challenges of semantic decay and implicit sentiment polarity classification in film and television review texts, this paper proposes a multi-dimensional semantic feature fusion network model (MDSF-Net). This model integrates pre-trained encoding layers and one-dimensional local convolutional branches to...