A Fusion Method and Device for Sentence Vectors
A fusion method and sentence vector technology, applied in the field of sentence vector fusion method and device, can solve the problems of destroying the semantics of multiple word vectors, affecting the expressive ability of text features, etc., and achieve the effect of improving expressive ability
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Embodiment 1
[0020] figure 1 It is a flow chart of a sentence vector fusion method provided by Embodiment 1 of the present invention. The method of this embodiment can be specifically applied to the situation where sentence vectors are fused in a terminal or a server to extract text sentence vectors from the text to be processed, and it is also applicable to the identification of target information in the text. The method of this embodiment can be executed by a sentence vector fusion device, which can be independently configured in a terminal or a server, or can be distributed in a terminal and a server, and both cooperate to implement the method of this embodiment.
[0021] The method of this embodiment includes:
[0022] S110. Extracting text word vectors included in the text to be processed;
[0023] Generally speaking, the most simple and direct representation of text features is a single word, but because text data contains many words, and some words appear frequently, they are not ...
Embodiment 2
[0058] figure 2 It is a schematic structural diagram of a sentence-vector fusion device provided in Embodiment 2 of the present invention. Such as figure 2 As shown, the device includes:
[0059] Text word vector extraction module 210, for extracting the text word vector included in the text to be processed;
[0060] The second word vector generation module 220 is used to search the text word vector in the set corpus to generate the second word vector;
[0061] The text sentence vector generating module 230 is configured to determine a text sentence vector corresponding to the text word vector according to the spatial similarity between the text word vector and the second word vector.
[0062] The technical solution provided by the embodiment of the present invention can effectively avoid destroying the intrinsic semantic information of individual word vectors by merging multiple sets of word vectors in the text into sentence vectors according to the spatial similarity be...
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