Name
Title | ||
|---|---|---|
Predicting consumer sentiments using online sequential extreme learning machine and intuitionistic fuzzy sets. |
Abstract | ||
|---|---|---|
Predicting consumer sentiments revealed in online reviews is crucial to suppliers and potential consumers. We combine online sequential extreme learning machines (OS-ELMs) and intuitionistic fuzzy sets to predict consumer sentiments and propose a generalized ensemble learning scheme. The outputs of OS-ELMs are equivalently transformed into an intuitionistic fuzzy matrix. Then, predictions are made by fusing the degree of membership and non-membership concurrently. Moreover, we implement ELM, OS-ELM, and the proposed fusion scheme for Chinese reviews sentiment prediction. The experimental results have clearly shown the effectiveness of the proposed scheme and the strategy of weighting and order inducing. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/s00521-012-0853-1 | Neural Computing and Applications |
Keywords | DocType | Volume |
Sentiment prediction, Extreme learning machine, OS-ELM, ensemble learning, Intuitionistic fuzzy set, Induced aggregation operator | Journal | 22 |
Issue | ISSN | Citations |
3-4 | 1433-3058 | 21 |
PageRank | References | Authors |
0.80 | 27 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hai Wang | 1 | 774 | 95.30 |
| Gang Qian | 2 | 784 | 63.77 |
| Xiangqian Feng | 3 | 128 | 5.59 |