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Literature review data generation method based on keyword extraction

A data generation and keyword technology, applied in the field of review papers, can solve problems such as the inability to reflect the development trend of time in the field, and achieve the effects of reducing the difficulty of cooperation, avoiding loss, and facilitating use and analysis

Pending Publication Date: 2020-06-26
HANGZHOU DIANZI UNIV
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AI Technical Summary

Problems solved by technology

The TF-IDF algorithm simply measures the importance of a word by word frequency, and cannot reflect the development trend of the field over time

Method used

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  • Literature review data generation method based on keyword extraction
  • Literature review data generation method based on keyword extraction
  • Literature review data generation method based on keyword extraction

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Embodiment Construction

[0052] In order to make the object of the present invention, technical scheme and effect clearer, definite, the following combination Figure 2-8 The present invention is further described in detail. The present invention includes three modules of publication database generation module, keyword database generation module and keyword classification module, and its algorithm general flow chart is as follows figure 2 shown.

[0053] The specific content is as follows:

[0054] 1. The first module: Publication database generation module

[0055] The publication database generation module is a module that crawls publication data, loads paper meta information and stores it in the publication database. Paper meta information such as author, title, abstract, publishing country, etc. can facilitate subsequent keyword extraction and trend analysis. The flow chart of this module is as follows image 3 shown. In order to illustrate the feasibility of the present invention, one of th...

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Abstract

The invention discloses a literature review data generation method based on keyword extraction. The method comprises the steps of firstly generating a publication database; generating a keyword database; and finally, classifying the keywords, wherein initial similarity calculation circulation and global traversal are included, and a keyword set table is generated at the same time. According to themethod, the text similarity thought and keyword extraction are combined to classify the keywords, a keyword set is more persuasive than a single keyword, and the development trend of the field can beeffectively presented on the basis of the keyword set in a time sequence.

Description

technical field [0001] The invention relates to a method for collecting literature-related data faster and more accurately by automatically extracting keywords, which is used for review papers presenting development trends in the field. Background technique [0002] With the development of advanced science and technology, cutting-edge scientific research is gradually moving towards a multi-field and interdisciplinary direction. For example: virtual reality technology (VR) breaks the boundary between the real world and computer simulation, and is widely used in medical students' surgical learning and practical ability training; artificial intelligence technology (AI) and big data are helping radiologists Develop deep neural networks for the classification and detection of different diseases that threaten the health of millions of patients. [0003] However, while the integration and progress of these scientific research fields have brought benefits to mankind, the difficulty...

Claims

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Application Information

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IPC IPC(8): G06F40/258G06K9/62G06F40/205G06F40/194
CPCG06F18/241
Inventor 王骏超张乃音万城瑞丁心怡
Owner HANGZHOU DIANZI UNIV