Mobile App News English Communication Based on Machine Learning Algorithm

Abstract

With the rapid development of information technology, especially wireless Internet, the application of mobile terminals has gradually become an indispensable part of people's life and provides new opportunities for higher education. At present, with the rise of the Internet, Chinese English online media have mushroomed and are facing fierce competition. In order to further test the current communication strategies of mobile app News English, this paper uses machine learning algorithms to capture the superficial and deep semantic features of words and sentences in English news and comprehensively uses existing methods to express semantic features. The surface and deep parts of English news are analyzed and classified by regression calculation. Then, in order to analyze the communication of mobile app English news, this paper uses random questionnaires and interviews to investigate students, combined with machine learning algorithm knowledge, analyzes the communication effect of Chinese English news mobile program on college students, and analyzes its influencing factors on the communication effect of news. It is hoped that the results of this study can clearly identify the advantages and disadvantages of English News Mobile Applications in the development of the current era and timely adjust strategic decisions. By studying machine learning algorithm and introducing it into the field of English news communication, this paper tests an English news communication mobile app and analyzes its effect on English news communication.