Getting Turning Point for Text Sentiment
Yangsheng Ji · Jiangnan daxue xuebao. Ziran kexue ban · 2009
The papers proposes two methods to determine the best turning point between positive and negative sentiment in text sentiment analysis.A multi-layered neural network is employed to compute the value of sentiment.The two methods are verified through the experiments.The results show that the turning point got by the methods has the precision comparable to that using 0.5 as the default turning point.The comparison is also made with the traditional Naive Bayesian Classifier.The experimental results show the improved precision.