A biomedicine technology subject mining method based on LDA,
A technology of biomedicine and topics, applied in the field of information retrieval, can solve the problems of low efficiency and inflexibility, the division of technical topics cannot meet the analysis requirements, and the analysis of technical topics cannot go deep into the content of patent texts, etc., to achieve the effect of reducing sparsity
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[0036] The present invention will be further described below in combination with the accompanying drawings and specific embodiments.
[0037] A method for mining biomedical technology topics based on LDA, the specific steps of the method are as follows:
[0038] Step1. Construct LDA topic model;
[0039] Step1.1. Construct document layer, topic layer, and vocabulary layer, where topic is the multinomial probability distribution of documents, and vocabulary is the multinomial probability distribution of topics;
[0040] Step2, LDA parameter estimation;
[0041] Step2.1, using Gibbs random sampling to solve the intermediate parameters of the LDA topic model;
[0042] Step2.2, parameter estimation of the distribution;
[0043] Step3. The evaluation function Perplexity determines the semantic theme parameter K;
[0044] Step4. Calculate each document d i A probability value p on all Topics.
[0045] Described step Step1.1 constructs document layer, theme layer, the specific ...
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