Loading...
Please wait, while we are loading the content...
Similar Documents
Document Sentiment Classification based on the Word Embedding
| Content Provider | Semantic Scholar |
|---|---|
| Author | Yin, Yanping Jin, Zhong |
| Copyright Year | 2015 |
| Abstract | N-gram feature is commonly used to represent document, however, it often leads to the curse of dimensionality. Sentiment classification based on word embedding and SVM is proposed. The method uses word embedding to represent document, which can make the final representation of the document consistent with the dimension of word embedding. Experiments show that the proposed method can significant reduce the dimension of document representation and improve the accuracy of document sentiment classification. |
| File Format | PDF HTM / HTML |
| DOI | 10.2991/icmmcce-15.2015.92 |
| Alternate Webpage(s) | https://download.atlantis-press.com/article/25844638.pdf |
| Alternate Webpage(s) | https://doi.org/10.2991/icmmcce-15.2015.92 |
| Journal | ICM 2015 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
