Name
Abstract | ||
|---|---|---|
Proper treatment of negation is an important characteristic of methods for sentiment analysis. However, while there is a growing body of research on the automatic resolution of negation, it is not yet clear as to how negation is best represented for different applications. To begin to address this issue, we review representation alternatives and present a state-of-the-art system for negation resolution that is interoperable across these schemes. By employing different configurations of this system as a component in a test bed for lexically-based sentiment classification, we demonstrate that the choice of representation can have a significant impact on downstream processing. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICDMW.2012.23 | ICDM Workshops |
Keywords | Field | DocType |
downstream processing,state-of-the-art system,lexically-based sentiment classification,different configuration,important characteristic,automatic resolution,negation resolution,different application,resolving negation,sentiment analysis,representation alternative,natural language processing | Information retrieval,Negation,Sentiment analysis,Computer science,Interoperability,Natural language processing,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
2375-9232 | 21 | 0.94 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emanuele Lapponi | 1 | 48 | 4.61 |
| Jonathon Read | 2 | 240 | 21.62 |
| Lilja Øvrelid | 3 | 187 | 27.28 |