Generative Sentiment Analysis via Latent Category Distribution and
Constrained Decoding
Generative Sentiment Analysis via Latent Category Distribution and
Constrained Decoding
Fine-grained sentiment analysis involves extracting and organizing sentiment elements from textual data. However, existing approaches often overlook issues of category semantic inclusion and overlap, as well as inherent structural patterns within the target sequence. This study introduces a generative sentiment analysis model. To address the challenges related to category semantic …