Name
Title | ||
|---|---|---|
Resource Creation and Evaluation for Multilingual Sentiment Analysis in Social Media Texts. |
Abstract | ||
|---|---|---|
This paper presents an evaluation of the use of machine translation to obtain and employ data for training multilingual sentiment classifiers. We show that the use of machine translated data obtained similar results as the use of native-speaker translations of the same data. Additionally, our evaluations pinpoint to the fact that the use of multilingual data, including that obtained through machine translation, leads to improved results in sentiment classification. Finally, we show that the performance of the sentiment classifiers built on machine translated data can be improved using original data from the target language and that even a small amount of such texts can lead to significant growth in the classification performance. |
Year | Venue | Keywords |
|---|---|---|
2014 | LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | sentiment analysis,multilingual sentiment analysis,machine translation,mixed language classifiers |
Field | DocType | Citations |
Social media,Information retrieval,Sentiment analysis,Computer science,Machine translation,Artificial intelligence,Natural language processing,Machine translated | Conference | 6 |
PageRank | References | Authors |
0.50 | 11 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexandra Balahur | 1 | 593 | 40.19 |
| Marco Turchi | 2 | 560 | 57.79 |
| Ralf Steinberger | 3 | 949 | 79.70 |
| Jose Manuel Perea Ortega | 4 | 6 | 0.50 |
| Guillaume Jacquet | 5 | 84 | 9.14 |
| Dilek Küçük | 6 | 109 | 10.24 |
| Vanni Zavarella | 7 | 137 | 12.73 |
| Adil El Ghali | 8 | 55 | 8.00 |