Automatic Sentiment Classification of News Using Machine Learning Methods

With the rapid development of social economy, the society has entered into a new stage of development, especially in new media under the background of rapid development, makes the importance of news and information to get the comprehensive promotion, and in order to further identify the positive and negative news, should be fully using machine learning methods, based on the emotion to realize the automatic classifying of news, in order to improve the efficiency of news classification. Therefore, the article first makes clear the basic outline of news sentiment classification. Secondly, the specific way of automatic classification of news emotion is deeply analyzed. On the basis of this, the paper puts forward the concrete measures of automatic classification of news emotion by using machine learning.