The invention provides a method and a
system for identifying the negative meaning of a social medium, a storage medium and
electronic equipment, and relates to the field of negative meaning identification. The method comprises the following steps: integrating
social media multi-
modal data, and activating the anti-chiffon specific features based on a pre-constructed hierarchical anti-chiffon semantic
lexicon; splicing the text guide features, the image guide features, the numerical value guide features and the anti-Children specificity features to obtain a global guide vector, taking the global guide vector as an attention query matrix, obtaining bidirectional interaction features between the text and the image by using bidirectional attention, obtaining anti-Children
perception features by using anti-Children category attention, and obtaining anti-Children
perception features by using the anti-Children
perception features; multi-
modal fusion features are obtained through additive attention, and fusion intermediate vectors are obtained after splicing; and finally, identifying whether the social medium multi-
modal data is the inverse expression or not. According to the invention, the
cooperative work of multiple attention mechanisms is realized by combining the
cascade transmission of the global guidance vectors of the anti-chief specificity characteristics, and the recognition ability of complex
social media anti-chief scenes is significantly improved.