Name
Title | ||
|---|---|---|
Sentiment analysis system adaptation for multilingual processing: The case of tweets. |
Abstract | ||
|---|---|---|
•We study different strategies to classify sentiment from tweets, using supervised learning with hybrid features.•We experiment with English and Spanish data and compare against benchmark competitions.•We employ machine-translated data from other languages for training.•We show that the use of multilingual data improves the sentiment classification accuracy. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.ipm.2014.10.004 | Information Processing & Management |
Keywords | Field | DocType |
Subjectivity analysis,Sentiment analysis,Multilingual resources,Social media mining,Chat analysis | Subjectivity analysis,Data mining,Information retrieval,Computer science,Social media mining,Sentiment analysis,Decision support system,Supervised learning,Artificial intelligence,Natural language processing | Journal |
Volume | Issue | ISSN |
51 | 4 | 0306-4573 |
Citations | PageRank | References |
5 | 0.38 | 21 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexandra Balahur | 1 | 593 | 40.19 |
| José Manuel Perea Ortega | 2 | 5 | 0.38 |