Short text classification method based on semantic graphs
A classification method and semantic map technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of lack of root features, loss of semantic connection of concepts, and no distinction of contribution.
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[0048] See Figure 1-Figure 4 , a short text classification method based on semantic graph, the steps are as follows:
[0049] Step A, constructing a text semantic graph model for each piece of text information, and merging each text semantic graph model;
[0050] Step B, using a similarity calculation method for the text semantic graph model to compare the similarity between different texts;
[0051] Step C, according to the degree of text similarity, use a text semantic graph classifier to classify.
[0052] In this embodiment, step A includes the following steps:
[0053] Step A-1, constructing the core words of each statement and tabulating statistics;
[0054] Step A-2: Based on the sentence core word list, construct the text semantic graph model corresponding to each sentence, and then merge the text semantic graph models of each sentence to output the text semantic graph model of the entire article.
[0055] Step A-2 comprises the following steps:
[0056] Step A-2...
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