Emotion analysis system and method based on syntactic feature and attention mechanism fusion

The invention discloses a sentiment analysis system and method based on syntactic feature and attention mechanism fusion in the technical field of natural language processing, and the method comprises the steps: obtaining text data, and carrying out the data set classification; after word vector embedding representation conversion is carried out on the basis of the classified text data, initial context features are extracted through a bidirectional long-short-term memory network; after the initial context features are input into a graph convolutional network, syntactic features are extracted in combination with local average pooling; performing position coding on the initial context features, inputting the initial context features into an attention model, and extracting global features in combination with global maximum pooling; and carrying out vector splicing based on the syntactic features and the global features, and inputting a full connection layer and a random inactivation layer to obtain a final resul