Visualization And Visual Analysis Of News Texts

With the rapid development of the information era and big data era,there is a huge amount of text data produced every day through various forms.We can find the text data in the newspaper story,in the magazine's articles and in the blogs of the network.The text data is produced because of the human natural language system and rooted in the simplest needs of communication.However,due to the long history of civilization of human,natural language has also experienced a long development.Various forms of language put a great challenge to the recognition and understanding of the text data.In recent years,the booming development of the big data era puts forward the new demand to processing data.Computer technology in big data has become a new hot because we are unable to artificial process vast amounts of data and information.Through the batch processing and distributed computation of big data technology,the massive text data can be processed as efficiently as possible.However,the structural complexity of the text data creates a threshold for efficient processing,which is that it is not possible to decide which approach is appropriate.Therefore,the text visualization comes into being.Text visualization produces visual presentation and complete visibility analysis by means of human-computer interaction to achieve the goal of highly efficient analysis of massive amounts of text data.This paper analysis the text visualization and visual analysis in the domain of news text.This paper intuitively shows powerful analysis value of text visualization and visual analysis for text data through multiple text visualization system.In this paper,we combine with the current popular machine learning,natural language processing technologies to coordinate visualization technology for complete data analysis and mining task.In this paper,the research of text visualization consists of visual analysis of news text based on data background,visual analysis based on Chinese news,visual analysis based on speech news and text visual analysis combining the spatiotemporal dimension.Visual analysis of news text based on data background is applied to the analysis of the relationship between mass data in the news text and the change of data in the corresponding time span.Visual analysis based on Chinese news is applied for keyword and theme extraction of the news.Visual analysis based on speech news is used for the feature extraction and subject analysis of speech news.Text visual analysis combining the spatiotemporal dimension is used to extract the movement and behavior patterns of the research object.