Keyword extracting method based on Word2Vec and Query log
A keyword and vocabulary technology, applied in the field of information processing, can solve the problems of high computational complexity, limited scope of application, low efficiency of keyword extraction, etc., and achieve the effect of improving search effect and high quality
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[0050] refer to figure 1 , the method for extracting keywords based on Word2Vec and Query log described in the present embodiment, the method comprises the following steps:
[0051] S1, using query log data to construct a specific vocabulary in the target field;
[0052] S2, on the basis of the document collection and the specific vocabulary, obtain the candidate keywords of each document in the document collection;
[0053] S3, training to obtain the Word2Vec model of the target field, substituting candidate keywords in each document into the model, and obtaining word vectors of several dimensions of each of the candidate keywords;
[0054] S4, calculate the cosine similarity between the word vector corresponding to any candidate keyword L in any document A and the center vector of the document A, judge whether the candidate keyword L appears in a specific vocabulary, and if so, directly enter S5; if it does not appear, go to S6;
[0055] S5, multiply the cosine similarity...
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