Sentiment Analysis for Chinese Version based on Machine Learning
Cong Zhang, Hui Lu, Zekun Song · 2017
Word embedding based on neural language model can automatically learn effective word representation from massive unlabeled text dataset, and has made essential progress in many natural language processing tasks. This paper present a sentimental word vector learning frameworks based on a Convolutional Neural Network respectively.in order to Sentiment Analysis model have good generalization and are effective. Our second work is to adopt a Convolutional Neural Network model to perform text modeling.