Topic-based social media hashtag generation method
A social media and topic technology, applied in the computer field, can solve the problems of sparse post data, topic features ignore post word order information, and inaccurate topic tag generation, etc., to eliminate training gaps, enrich post features, and improve the average precision.
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[0088] like figure 2 As shown, the present invention comprises the following steps:
[0089] Step 1: Build a social media hashtag generation system. The system such as figure 1 As shown, it consists of an encoding module, a feature fusion module, a topic module and a generation module.
[0090] The encoding module is connected with the feature fusion module and the generation module, and its function is to extract the feature vector of the post, which is composed of a word embedding layer and a sequence encoding layer. The encoding module extracts N in the input post s feature vector of words, the N s The feature vector of each word is aggregated into the feature vector of the entire post, which is referred to as the post feature vector. put N s The feature vector of each word is sent to the generation module, and the feature vector of the entire post is sent to the feature fusion module and the generation module. N s is the total number of words in the post, as a po...
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