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Enterprise decision-making element extraction method and system based on natural language

A technology for enterprise decision-making and element extraction. It is applied in natural language data processing, special data processing applications, instruments, etc. It can solve problems such as low decision-making accuracy and inability to update the object's feature thesaurus in real time. The effect of good business posture

Inactive Publication Date: 2017-12-19
前海梧桐(深圳)数据有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The above-mentioned patents cannot update the feature lexicon, mapping lexicon, and emotion lexicon of objects in real time, which may easily lead to low accuracy of decisions made by users

Method used

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  • Enterprise decision-making element extraction method and system based on natural language
  • Enterprise decision-making element extraction method and system based on natural language
  • Enterprise decision-making element extraction method and system based on natural language

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Embodiment Construction

[0055] In order to fully understand the technical content of the present invention, the technical solutions of the present invention will be further introduced and illustrated below in conjunction with specific examples, but not limited thereto.

[0056] like Figure 1~6 In the specific embodiment shown, the natural language-based enterprise decision-making element extraction method provided by this embodiment can be used in the process of classifying massive enterprise information on the Internet to achieve further decision-making for users that may be contained in the extracted information. elements, to truly realize information-assisted decision-making. As the number of information samples increases, the thesaurus and mapping table will become more abundant and accurate, and combined with the perception of the enterprise situation, the information service will be more timely, effective and targeted, which is conducive to better perception of the enterprise situation.

[00...

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Abstract

The invention relates to an enterprise decision-making element extraction method and system based on a natural language. The method comprises the steps of obtaining enterprise public information; utilizing the enterprise public information to establish a mapping relation of an event and a decision-making element to form a sample information base; obtaining enterprise dynamic information; cleaning enterprise dynamic information to obtain a segmented word; judging whether the segmented word is synonymous with the word in an event base; if yes, extracting the decision-making element in the event sample information base according to the segmented word or not; if not, forwarding dynamic information and conducting simple classification. The enterprise decision-making element extraction method and system based on the natural language can further extract the decision-making element possibly contained in the information of the user and truly achieve information auxiliary decision-making, as the information sample amount is increased, a word bank and a mapping table can be richer and more precise, by sensing the enterprise situation, the information service is better in real-time performance, more effective and more pertinent, and the enterprise situation is better sensed.

Description

technical field [0001] The present invention relates to a method for extracting decision-making elements of an enterprise, more specifically, a method for extracting decision-making elements of an enterprise based on natural language and a system thereof. Background technique [0002] Improving the level of decision-making is the key to enterprise management, and to improve the level of decision-making, it is necessary to find the factors that affect decision-making. Only by achieving breakthroughs in the factors that affect decision-making can the decision-making ability of enterprises be fundamentally improved. The incentive for industrial decision-making is the input of information. Decision makers obtain industry-related information through various channels, and this information caters to or stimulates the actual or potential investment needs of decision makers, and then stimulates the decision-making impulse. It can be seen from this that the external incentive for indu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27
CPCG06F40/247G06F40/279G06F40/289
Inventor 宋小鹏田丁丁
Owner 前海梧桐(深圳)数据有限公司
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