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Sentiment lexicons with valence-arousal ratings are useful resources for the development of dimensional sentiment applications. In order to solve the significant lack of Chinese valence and arousal lexicons, the objective of the DSAW is to automatically acquire the valence-arousal ratings of Chinese affective words. In this task, we develop a novel approach that integrate word embeddings into a graph-based...
In the area of national language processing, performing machine learning technique on customer or movie review for sentiment analysis has been? frequently tried. While methods such as? support vector machine (SVM) were much favored in the 2000s, recently there is a steadily rising percentage of implementation with vector representation and artificial neural network. In this article we present an approach...
Sentiment classification has been an essential part of opinion mining and sentiment analysis. This topic has been applied to real world scenarios such as mining customer reviews on merchandise sold online and film reviews of movies. Therefore, we aimed to gain insight into sentiment word classification, as it could serve as the foundation for larger scale sentiment analyses on corpuses and documents...
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