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.
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Kikuchi, Y., Takamura, H., Okumura, M., Nakazawa, S. (2014). Identifying a Demand Towards a Company in Consumer-Generated Media. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2014. Lecture Notes in Computer Science, vol 8404. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54903-8_13
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DOI: https://doi.org/10.1007/978-3-642-54903-8_13
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