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Article feature extraction method based on topic model

A topic model and feature extraction technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problem of not considering the availability of the model to the database of large sample articles, the use value is not high, ignoring the citation relationship network, etc. question

Active Publication Date: 2016-06-01
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0009] However, these research results either did not consider the availability of the model for large-scale article databases, or only focused on the information of the citation network while ignoring the extraction of article text information, or only considered the text information of the article database but ignored the citation relationship network. information
Therefore, the final result is not of high use value.

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  • Article feature extraction method based on topic model
  • Article feature extraction method based on topic model
  • Article feature extraction method based on topic model

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Embodiment Construction

[0083] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0084] The present invention utilizes an original method to extract article features. The invention uses the article citation network to expand the traditional topic model, so that the topic model can simultaneously use the topic model and the citation network to extract article features, thereby extracting more accurate article features. Main steps of the present invention include:

[0085] Step A: Construct the citation relationship network of the article based on the original corpus, set the initial...

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Abstract

The invention provides an article feature extraction method based on a topic model. The method comprises the steps that an article reference relationship network is built on the basis of a raw corpus; a generative model of the topic model and a parameter combining expression formula are built; the inference process of the topic model is built according to the generative model, article sampling is conducted on a new corpus, and article parameters are extracted according to the sampling result of article sampling. According to the article feature extraction method based on the topic model, the article reference network is used for extending the traditional topic model, and therefore more accurate article features are extracted.

Description

technical field [0001] The present invention relates to the technical field of article feature extraction, in particular to an article feature extraction method based on a topic model, in particular to a topic model-based feature extraction method for integrating reference relationship network sorting. Background technique [0002] Scientific research activities are the strategic support for improving social productivity and comprehensive national strength. All countries in the world attach great importance to investment in scientific research activities. my country has put scientific and technological research and development at the core of the overall national development, and the national financial expenditure on scientific research has steadily increased. In 2012, China's research and experimental development investment (including industry and academia) has exceeded one trillion yuan, reaching 1029.84 billion yuan, reaching the level of moderately developed countries. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/3346
Inventor 沈嘉明宋振宇李世韬毛宇宁谈兆炜朱鸿儒王乐群郭运奇王彪傅洛伊王新兵
Owner SHANGHAI JIAO TONG UNIV