Cross-domain knowledge discovery-oriented topic mining method

A knowledge discovery and cross-domain technology, applied in the field of computer text mining, can solve the problems of screening out the required information and the unavailability of cross-domain topic models

Active Publication Date: 2015-12-09
TSINGHUA UNIV
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  • Abstract
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However, the cross-domain topic model cannot use information from d

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  • Cross-domain knowledge discovery-oriented topic mining method

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Embodiment Construction

[0026] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0027]In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner" and "outer" are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and Simplified descriptions, rather than indicating or implying that the device or element refer...

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Abstract

The invention discloses a cross-domain knowledge discovery-oriented topic mining method, comprising: constructing a source domain text set and a target domain set; extracting potential class feature information and potential semantic information from the source domain text set; extracting potential feature information and potential semantic information from the target domain set; automatically aggregating a text in the target domain set into a potential style component; modeling the semantic information of the target domain set in a potential topic component; and modeling the potential topic component of the semantic information of the target domain set. The method has the following advantages: features of texts in a source domain are automatically mined for identifying and classifying texts in a target domain; text feature information of the source domain is accurately transferred in a text cluster of the target domain; and text content, different from the source domain, in the target domain is automatically found out.

Description

technical field [0001] The invention belongs to the technical field of computer text mining, relates to topic model technology, in particular to a topic mining method oriented to cross-domain knowledge discovery. Background technique [0002] With the development of the Internet, the emergence of more and more network platforms has resulted in an explosive growth of text resources, and the huge amount of data and complex analysis process often make it difficult for users to obtain the required knowledge. For example, when people want to find valuable local news events or hot topics in social networks, people can only search for keywords to help them find the information they want. However, such retrieval methods are often very inefficient. Yes, people often try a large number of search keywords, or browse a large number of search results to find the information they want. In order to effectively improve the efficiency of users' access to information, text mining technology ...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/3344G06F16/9535
Inventor 靳晓明韩春晖
Owner TSINGHUA UNIV
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