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Keyword extraction method and keyword extraction system

An extraction method and extraction system technology, applied in the field of keyword extraction method and extraction system, can solve the problem of inability to accurately obtain key words for correct semantic expression, and achieve the effect of improving key information extraction, accurate extraction, and strengthening invisible meaning

Active Publication Date: 2017-05-31
SHANGHAI XIAOI ROBOT TECH CO LTD
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Problems solved by technology

[0008] In view of this, the embodiment of the present invention provides a keyword extraction method and extraction system, which are used to solve the technical problem of being unable to accurately obtain key words expressed in correct semantics

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  • Keyword extraction method and keyword extraction system
  • Keyword extraction method and keyword extraction system

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Embodiment Construction

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0023] The step numbers in the drawings are only used as reference signs for the steps and do not indicate the order of execution.

[0024] figure 1 It is a schematic flowchart of an embodiment of the keyword extraction method of the present invention. Such as figure 1 Shown include:

[0025] Step 100: Carry out vectorization processing on the question text to form a question corpus containing vector features of keywords;

[0026] Step 200: Using ...

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Abstract

The invention relates to a keyword extraction method and a keyword extraction system. The keyword extraction method and the keyword extraction system of the invention are used to solve the technical problem that the keywords expressed by correct semantics cannot be accurately obtained. The keyword method comprises the following steps: vectorizing a question text to form a question corpus including the vector features of keywords; and extracting the keywords in the question corpus by utilizing BLSTM RNN (Bidirectional Long Short Term Memory Recurrent Neural Network).

Description

technical field [0001] The present invention relates to a natural language processing method and system, in particular to a keyword extraction method and extraction system. Background technique [0002] In the process of artificial intelligence construction of the knowledge base, it is necessary to determine the questions with language as the carrier, and to obtain the content meaning of the specific semantic expression of the questions asked, that is, to accurately extract the most core questions that users want to ask. The specific content of the question is usually highly related to the specific key words in the question. [0003] In the prior art, technical solutions such as pLSA, LDA, SVD, LSA, and TFIDF are usually used to extract keywords in sentences, but each solution has defects in keyword extraction. [0004] The TFIDF (Term Frequency Inverse Text Frequency Analysis) scheme is mainly applicable to distinguishing the most meaningful words for a document, by means ...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06N3/04
CPCG06F40/289G06F40/284G06F40/30G06N3/044
Inventor 贾祯白杨朱频频
Owner SHANGHAI XIAOI ROBOT TECH CO LTD
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