Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media Text

@inproceedings{Kim2006ExtractingOO,
  title={Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media Text},
  author={Soo-Min Kim and Eduard H. Hovy},
  year={2006}
}
This paper presents a method for identifying an opinion with its holder and topic, given a sentence from online news media texts. We introduce an approach of exploiting the semantic structure of a sentence, anchored to an opinion bearing verb or adjective. This method uses semantic role labeling as an intermediate step to label an opinion holder and topic using data from FrameNet. We decompose our task into three phases: identifying an opinion-bearing word, labeling semantic roles related to… 

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