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Tourism hot event impact degree prediction system

A technology of hotspot events and forecasting systems, applied in forecasting, special data processing applications, instruments, etc., can solve problems such as the inability to find association rules and the inability to measure the direct or indirect impact of hotspot events

Inactive Publication Date: 2017-07-14
上海诺悦智能科技有限公司
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AI Technical Summary

Problems solved by technology

The traditional public opinion monitoring system can only show the occurrence and dissemination of tourism-related hotspot events, and cannot measure the direct or indirect impact of these hotspot events, and cannot find association rules related to tourism-related economic indicators

Method used

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  • Tourism hot event impact degree prediction system

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Embodiment Construction

[0020] 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, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0021] Such as figure 1 As shown, the embodiment of the present invention proposes a system 1 for predicting the degree of impact of tourist hotspot events, including an input module 101, a neural network module 102 and an output module 103;

[0022] Input module 101 is used for inputting the relevant parameter of positive event, neutral event and negative event;

[0023] Parameters include event-related transmission time period index, number of event transmi...

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Abstract

The invention provides a tourism hot event impact degree prediction system, including an input module, a neural network module, and an output module. The input module is used to input related parameters of positive events, neutral events and negative events. The parameters comprise a propagation time period index related to the events, an event propagation region number, an event occurrence impacted crowd number, an event related network propagation frequency, a media event coverage frequency, and event occurrence place attention. The neural network module is used to predict an influence index of tourism hot events according to the parameters. The output module is used to display the influence index of tourism hot events. The scheme can predict impact degree of hot events.

Description

technical field [0001] The invention relates to the technical field of forecasting the degree of influence of hotspot events, in particular to a system for predicting the degree of influence of tourist hotspot events. Background technique [0002] With the rapid development and widespread use of information technology, Internet-based travel information has become an increasingly popular travel option and basis for consumers. Relevant information on the Internet not only displays relevant tourism information, but also directly or indirectly affects the choice of travelers through social media, news dissemination and other channels. [0003] Tourism-related information on the Internet and media often has an important impact on the local or even the entire tourism industry. Monitoring and early warning based on such information is an urgently needed response plan for current tourism practitioners. The traditional public opinion monitoring system can only show the occurrence an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q10/04G06Q50/10
CPCG06F16/3344G06Q10/04G06Q50/10
Inventor 王子剑李震川陈龙曹磊庞子龙严武
Owner 上海诺悦智能科技有限公司
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