A semantic modeling-based NLP approach to sentiment analysis of film and television reviews
Data experiments and kernel density distribution analysis confirm that this architecture maintains low computational inference latency while ensuring effective feature extraction, providing a feasible engineering algorithm reference architecture for sentiment analysis of unstructured user review texts.