A news communication method and system based on big data processing

With the rapid development and popularization of the Internet, news information is growing explosively. The traditional news value evaluation usually adopts the method of "self-evaluation". When evaluating the value of a news, news providers subjectively measure its value from the professional perspectives of news importance, significance, freshness, proximity and interest, while ignoring whether the news is effectively disseminated so that more readers can understand or read it, then a news cannot be effectively spread or spread widely enough, the embodiment of its value will have great limitations. Therefore, the news communication method and system based on big data processing in this paper can better provide news providers with a more objective and accurate evaluation of news communication effect, and then measure the value of news according to the determined communication effect.