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

Explore this paper's citation graph

Summary

This method uses semantic role labeling as an intermediate step to label an opinion holder and topic using data from FrameNet, and decomposes the task into three phases: identifying an opinion-bearing word, labeling semantic roles related to the word in the sentence, and then finding the holder and the topic of the opinion word among the labeled semantic roles.

Type
article
Published
2006-07-22
Cited by
529
References
24
Access
Open access

Keywords

FrameNet, Computer science, Natural language processing, Sentence, Sentiment analysis

References

Cited by

Related papers