Text keyword extracting method based on subject model
A topic model and extraction method technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as difficulty in obtaining effects and effect decline
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[0032] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.
[0033] Such as figure 1 As shown, a text keyword extraction method based on topic model, the specific steps of the method are as follows:
[0034] S1. Use the method in the topic model to obtain the probability matrix between terms and topics from a large number of text training sets, which is recorded as the probability matrix of terms and topics in the training text set ;
[0035] S2. Perform word segmentation and preprocessing operations for removing stop words on a text to obtain the corresponding candidate keyword set A, and then according to the candidate keyword set Key words in , take out the probability matrix of terms and topics in the above training text set A line corresponding to the candidate keywords in the middle, generate a set of candidate keywords The term-to-topic probability matrix for the corresponding term-to-topi...
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