A decision tree using ID3 algorithm for English semantic analysis
Natural language processing has been studied for many years, and it has been applied to many researches and commercial applications. A new model is proposed in this paper, and is used in the English document-level emotional classification. In this survey, we proposed a new model by using an ID3 algo...
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| Veröffentlicht in: | International journal of speech technology 2017-09, Vol.20 (3), p.593-613 |
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| container_title | International journal of speech technology |
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| creator | Phu, Vo Ngoc Tran, Vo Thi Ngoc Chau, Vo Thi Ngoc Dat, Nguyen Duy Duy, Khanh Ly Doan |
| description | Natural language processing has been studied for many years, and it has been applied to many researches and commercial applications. A new model is proposed in this paper, and is used in the English document-level emotional classification. In this survey, we proposed a new model by using an ID3 algorithm of a decision tree to classify semantics (positive, negative, and neutral) for the English documents. The semantic classification of our model is based on many rules which are generated by applying the ID3 algorithm to 115,000 English sentences of our English training data set. We test our new model on the English testing data set including 25,000 English documents, and achieve 63.6% accuracy of sentiment classification results. |
| doi_str_mv | 10.1007/s10772-017-9429-x |
| format | Article |
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| subjects | Algorithms Artificial Intelligence Classification Decision analysis Decision trees Engineering English language Natural language processing Semantic analysis Semantics Sentences Sentiment analysis Signal,Image and Speech Processing Social Sciences |
| title | A decision tree using ID3 algorithm for English semantic analysis |
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