Abstract
Abstract
As the country has set a good life as the keynote of the future, it indicates that the
tourism industry will promote the national economy with a posture of rapid
development. And, with the continuous improvement of Internet technology in recent
years, the country, society and people's way of life have been changed, and the
network has become a "necessity" of people's life. An innovative form of Internet +
tourism has quietly risen and rapidly occupied all aspects of national life. Technical
innovation promotes the activity of human-computer interaction, and tourists can get
to know the various information of the destination through the network content, so
that the perception image of the tourist destination can be built up in the mind to
facilitate the final decision to travel. However, since tourism is a common industry of
multi-industry development, the coverage area is wide, influencing factors are more,
and the formation of the addition effect of the network can catalyze the image
formation on the front of the catalytic destination, which can also increase the spread
of negative image and even become a distorted image, which means that the Internet
can bring excellent development opportunities to tourism, and also promote the
development of crisis events. Tourism destination, as the object of tourism activities,
will be used by some tourists as the subject of tourism to generate huge network
content and comments of data through the Internet media, and these network data will
intensify the occurrence of crisis events, a small negative event will form a huge scale
effect, which will significantly affect the tourists' perception of the destination image,
will not only increase the probability of tourists to change the decision, but also cause
the market volatility of tourism. To sum up, tourism destinations are in urgent need of
a reasonable and effective image monitoring system to control the spread of image
crisis. From the perspective of image monitoring -- crisis warning -- image
management, this paper takes hot tourism destinations in Yunnan province as the
research object, builds an image monitoring model based on indicators, USES
network text as sample data, and USES data capture and data mining technology to
complete the image monitoring and crisis warning process.
This paper mainly studies from the following parts:
Part one, the introduction. In the context of the big data, the development of
tourism, the Internet and the tourism crisis, it's a clear study of the significance of the
study. At the same time, a review of both domestic and foreign literature, which
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