Research on News Report Text Sentiment Tendency
Hongying Zan, Guo Ming, Yumei Chai, Yunfang Wu · Jisuanji gongcheng · 2010
This paper uses machine learning techniques combined with the rules to solve sentiment classification of news text,and researches affection of feature selection and feature weights based on Support Vector Machine(SVM) classifier.Experiments show that combined with the rules,experimental result is improved.In order to test universality of the combined method,more experiments based on KNN and Bayes classifier are done.Results show that combined method does better than not combined ones.