Text classification can efficiently enhance the text processing capability by automatically sorting out them according to defined collection of categories. This paper uses TFIDF method to represent documents, and set the NGramSize value to be 6. Word Frequency vector is used to measure and distinguish different features on documents. The Similarity Approach uses Cosine function to construct the classifier. The experiment results indicate that proposed algorithm yields good performance with the accuracy up to 98%.
The quadratic complexity required for measuring the similarity of news stories makes it intractable in large-volume news videos. In this paper, an effective method is proposed to find a way to solve the problems. First, small partitions from the corpus and prune local keypoint are selected to accelerate matching speed. Then, a hierarchical approach for identifying near duplicate keyframes is proposed. Furthermore, this paper presents a method to identity correlation of stories based on near duplicate keyframes and transitivity of correlations. Finally, a method for calculating the similarity of news stories is presented based on near duplicate keyframes. Experimental results show that this approach greatly speeds up the matching speed and improves the matching accuracy. The similarity of stories is closer to users sensory.
Nation branding has remained both a heated topic and an international tendency over years. As an endeavor to promote the international image and reputation of a country, nation branding is a multifaceted cause involving a host of domestic stakeholders, among which the higher education institutions play an ever increasingly important role. With its economic and social achievements in recent years, nation branding is also needed by China. For a long time, the function of Chinese universities in nation branding was indirect and marginal, but the Belt & Road Initiative as well as the drive for internationalization of higher education have altered this situation. However, due to language barriers, the universities' potential in nation branding has so far not been fully tapped. This paper argues that a wide and quality application of Englishmedium instruction in the teaching of academic subjects for the B&R students could substantially enhance the universities' role in promoting Brand China. Based on the interpretation and analysis, policy implications are discussed accordingly.
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