CCTV News Broadcast Information Mining: Keyword Extraction Based on Semantic Model and Statistics Visualization

CCTV News Broadcast is one of the most popular news programs in China, and it is also the most important propaganda platform in China. CCTV News Broadcast is established to "Improve the quality of publicity", so it is "A product of visual culture of national ideology" and "Taking politics as the standard" is primary appeal. [1] At present, there is little research on the text of CCTV News Broadcast. This paper focuses on the CCTV News Broadcast, using the visualization model based statistics and semantic based keyword extraction model (SKE) to extract the text features of CCTV News Broadcast. It can help the public quickly capture the key information of CCTV News Broadcast. Moreover, this paper also forms a set of Chinese corpus with keywords tagging in the field of CCTV News Broadcast. It provides important data support for machine learning method and subsequent research. In addition, aiming at some important problems found in this paper, this paper proposes further research direction for text data processing in CCTV News Broadcast field.