Name
Abstract | ||
|---|---|---|
•Method to predict sentiment in informal texts using unsupervised dependency parsing.•Algorithm based on sentiment propagation using linguistic content without training.•Method to create lexicon using polarity expansion algorithm for specific domains.•Our method compares favorably well with other unsupervised and supervised methods. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.eswa.2016.03.031 | Expert Systems with Applications |
Keywords | Field | DocType |
Sentiment analysis,Opinion mining,nlp,Artificial intelligence | Data mining,Social network,Computer science,Sentiment analysis,Dependency grammar,Robustness (computer science),Lexicon,Artificial intelligence,Natural language processing,Digital media,Machine learning | Journal |
Volume | Issue | ISSN |
58 | C | 0957-4174 |
Citations | PageRank | References |
30 | 0.91 | 58 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Milagros Fernández Gavilanes | 1 | 51 | 6.01 |
| tamara alvarezlopez | 2 | 53 | 4.09 |
| Jonathan Juncal-Martínez | 3 | 66 | 5.62 |
| Enrique Costa-Montenegro | 4 | 343 | 26.83 |
| Francisco J González Castaño | 5 | 86 | 12.36 |