Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s10772-017-9429-x | I. J. Speech Technology |
Keywords | Field | DocType |
Sentiment classification, English sentiment classification, English document opinion mining, ID3 algorithm, id3, Decision tree | Training set,Decision tree,Pattern recognition,Computer science,Natural language processing,Artificial intelligence,Test data,ID3 algorithm,Semantics | Journal |
Volume | Issue | ISSN |
20 | 3 | 1381-2416 |
Citations | PageRank | References |
3 | 0.39 | 29 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vo Ngoc Phu | 1 | 49 | 4.43 |
| Vo Thi Ngoc Tran | 2 | 14 | 0.89 |
| Thi Ngoc Chau Vo | 3 | 49 | 8.68 |
| Nguyen Duy Dat | 4 | 25 | 2.06 |
| Khanh Ly Doan Duy | 5 | 3 | 0.39 |