Name
Abstract | ||
|---|---|---|
Demands in consumer-generated media CGM with regard to a product are useful for companies because these demands show how people want the product to be changed. However, there are many types of demand, and the demandee is not always the company that produces the product. Our objective in this study is to identify the demandees of demands in CGM. We focus on the verbs representing the requested actions and collect them using a graph-based semi-supervised approach for use as the features of a demandee classifier. Experimental results showed that using these features improves the classification performance. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-642-54903-8_13 | CICLing (2) |
Field | DocType | Volume |
Data mining,Graph,Computer science,Sentiment analysis,Computational linguistics,Natural language processing,Artificial intelligence,Classifier (linguistics),Machine learning | Conference | 8404 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuta Kikuchi | 1 | 28 | 3.27 |
| Hiroya Takamura | 2 | 529 | 64.23 |
| Manabu Okumura | 3 | 830 | 114.41 |
| Satoshi Nakazawa | 4 | 0 | 0.34 |