Tendency Analysis Of Online News For Enterprises

Emotional tendency analysis of text is one of the research hotspots in natural language processing.The analysis of text sentiment tendency is to judge the sentiment of text by mining text information.Nowadays,information is developing rapidly,and there is a large amount of text information in the network.This subjective information has great application potential in public opinion analysis,e-commerce,opinion polls,and e-government.News is one of the media that can best reflect the dynamics of society,and online news media,as an important carrier of the current dissemination of news information,have an important influence on and promote the development of some events.For enterprises,their actions affect the coverage of online news media,and in turn,the emotional changes in online news reports will also affect their response.Based on understanding the development of research on the sentimental tendency of texts at home and abroad,the research content and structure are proposed.At the same time,Chinese word segmentation,feature selection,text representation methods,and text classification algorithms are studied,and hybrid word segmentation based on manual adjustment of the dictionary model.This article takes Huawei as the object of empirical analysis,collects relevant reports of news websites through web crawler technology,and then judges the sentiment of text sentiment based on the method of text mining.Attempt to analyze the tendency of emotional tendency and the hot events that affect the change of emotional tendency through the sentiment change diagram of the final classification result.This helps the public understand the latest social developments and the latest developments in current affairs;it also helps news practitioners to reflect on themselves and bring more fair news coverage to news readers.For companies,it helps corporate regulators understand the changes in public opinion.In the future,when an enterprise faces an emergency,it can timely make good response measures to avoid causing greater losses;or formulate an appropriate marketing plan to help the company achieve sales performance improvement.