Intelligent full-text retrieval method and system based on semantic understanding
A semantic understanding and intelligent technology, applied in unstructured text data retrieval, semantic analysis, natural language data processing, etc., can solve problems such as missing text expressions, data sparsity, lack of latitude semantic information, and difficulty in meeting user needs. To achieve the effect of improving accuracy
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Embodiment 1
[0044] In one or more implementations, an intelligent full-text retrieval method based on semantic understanding is disclosed, referring to figure 1 , including the following procedures:
[0045] (1) Cut the received search sentence into short texts, perform word segmentation operations on the short texts, and obtain the word segmentation library corresponding to the short texts;
[0046] (2) construct the semantic information vector and the dependency relationship vector of short text; Described semantic information vector comprises the central word and word sense co-occurrence words of short text;
[0047] (3) Based on the semantic information vector and dependency vector of the short text, the similarity between the short text information and the relevant information in the intelligent index database is calculated, and then the search result set is obtained.
[0048] Specifically, the process of building an intelligent index library in this embodiment specifically includes...
Embodiment 2
[0077] In one or more implementations, an intelligent full-text retrieval system based on semantic understanding is disclosed, including:
[0078] The data preprocessing module is used to cut the received search sentence into short texts, perform word segmentation operations on the short texts, and obtain the word segmentation library corresponding to the short texts;
[0079] The short text vector building block is used to construct the semantic information vector and the dependency relationship vector of the short text; the semantic information vector includes the central word and the word sense co-occurrence words of the short text;
[0080] The data index module is used to calculate the similarity between the short text information and the relevant information in the intelligent index library based on the semantic information vector and the dependency relationship vector of the short text, and then obtain the search result set.
[0081] The specific implementation manners ...
Embodiment 3
[0083] In one or more embodiments, a terminal device is disclosed, including a server, the server includes a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the The program realizes the intelligent full-text retrieval method based on semantic understanding in the first embodiment. For the sake of brevity, details are not repeated here.
[0084] It should be understood that in this embodiment, the processor can be a central processing unit CPU, and the processor can also be other general-purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic devices , discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.
[0085] The memory may include read-only memor...
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Description
Claims
Application Information
- IPC
- G06F16/33; G06F40/211; G06F40/289; G06F40/30
- CPC
- G06F16/3334; G06F16/3344; G06F16/3347; G06F40/211; G06F40/289; G06F40/30
- Inventors
- 吴士伟; 杨春