Abstract
With the rapid development of the Internet, text data has become one of the major formats of big data tourism and improves the quality and promotes the optimization and upgradation of tourism English talents. This paper proposes a model of tourism English talent resources based on data mining techniques using a big data framework. The characteristic distribution structure model is built to identify and blend the characteristics of tourism English talent resources. Connection feature mining and information fusion are combined to share data and schedule resources during the talent training process. Initially, the proposed research work uses a cloud storage system for developing intercultural communicative competence of tourism English talents. Next, the optimal scheduling design of tourism English talent training resource’s big data is carried out. Finally, the fuzzy clustering method deals with the adaptive clustering of tourism English talent resource distribution big data. The simulation findings show that the proposed method has high precision and big data computation efficiency. Moreover, it can successfully mentor the development of a new framework of tourism English talent training.
Highlights
Introduction e training goal of tourismEnglish talents is located in the technical application of the tourism industry and the compound management talents to cultivate the middle level of the tour guide industry, the hotel industry and the middle level, and the management talents above the middle level.erefore, the training target of the Higher Vocational Tourism English talents is the technical nature of the talent type, the professionalism of knowledge ability, and the graduate’s direction [1]
In the cloud storage system, the optimal scheduling design of tourism English talent training resource big data is carried out, and the fuzzy clustering method is used to deal with the adaptive clustering of tourism English talent resource distribution big data. is research work adopts the attribute distribution structure model to classify and fuse the features of tourism English talent resources, and it combines the methods of association feature mining and information fusion to share data and schedule resources in the process of talent training
Strategy capability system proposed by the tourism English talent training model is different from the general communication strategy, but it is the remedial measures adopted by the communicators in the face of language barriers or verbal skills and clearly shows that strategic competence is an important part of the communicative competence
Summary
We elaborate the new cross-cultural communicative competence model that is proposed in the book titled “Intercultural Communication in Context” and the elements of cross-cultural communicative competence of tourism English talents. E formation of cross-cultural communication ability elements includes four elements, that is, knowledge factors, emotional factors, mental activity characteristics, and situational characteristics. E ability to deal with stress and tolerance is positively related to intercultural communicative competence, and knowledge and affective factors in cross-cultural communicative competences interact with and support each other. Ese include verbal skills, nonverbal abilities, cultural abilities, interpersonal skills, and cognitive abilities, where the tourism English talent cultivation model believes that emotional competence refers to the communicator’s recognition and understanding of the other party. Strategy capability system proposed by the tourism English talent training model is different from the general communication strategy, but it is the remedial measures adopted by the communicators in the face of language barriers or verbal skills and clearly shows that strategic competence is an important part of the communicative competence
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