Social media sentiment classification method and device based on knowledge graph
A technology of knowledge graph and social media, applied in text database clustering/classification, biological neural network models, instruments, etc., can solve problems such as low precision, complex calculation, and incompetent emotional expression, so as to improve accuracy and improve Embedding precision, effects of storage normalization
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[0031] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.
[0032] Such as figure 1 As shown, a kind of social media emotion classification method based on knowledge map disclosed in the embodiment of the present invention, the specific implementation steps are as follows:
[0033] Step 1, construct an emotional knowledge map. Without loss of generality, use Wikidata offline data to extract entities, entity attributes, and entity relationships to construct a knowledge map, and use NTUSD and Hownet two emotional dictionaries to locate the emotional entitie...
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