document: Entity discovery and assignment for opinion mining applications Opinion mining became an important topic of study in recent years due to its wide range of applications . There are also many companies offering opinion mining services . One problem that has not been studied so far is the assignment of entities that have been talked about in each sentence . Let us use forum discussions about products as an example to make the problem concrete . In a typical discussion post , the author may give opinions on multiple products and also compare them . The issue is how to detect what products have been talked about in each sentence . If the sentence contains the product names , they need to be identified . We call this problem entity discovery . If the product names are not explicitly mentioned in the sentence but are implied due to the use of pronouns and language conventions , we need to infer the products . We call this problem entity assignment . These problems are important because without knowing what products each sentence talks about the opinion mined from the sentence is of little use . In this paper , we study these problems and propose two effective methods to solve the problems . Entity discovery is based on pattern discovery and entity assignment is based on mining of comparative sentences . Experimental results using a large number of forum posts demonstrate the effectiveness of the technique . Our system has also been successfully tested in a commercial setting .
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