Title | ||
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NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis. |
Abstract | ||
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This paper describes our multi-view ensemble approach to SemEval-2017 Task 4 on Sentiment Analysis in Twitter, specifically, the Message Polarity Classification subtask for English (subtask A). Our system is a voting ensemble, where each base classifier is trained in a different feature space. The first space is a bag-of-words model and has a Linear SVM as base classifier. The second and third spaces are two different strategies of combining word embeddings to represent sentences and use a Linear SVM and a Logistic Regressor as base classifiers. The proposed system was ranked 18th out of 38 systems considering F1 score and 20th considering recall. |
Year | DOI | Venue |
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2017 | 10.18653/v1/s17-2100 | SemEval@ACL |
DocType | Volume | Citations |
Conference | abs/1704.02263 | 1 |
PageRank | References | Authors |
0.36 | 11 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Edilson A. Correa Jr. | 1 | 1 | 0.70 |
Vanessa Queiroz Marinho | 2 | 5 | 0.76 |
Leandro Borges dos Santos | 3 | 8 | 2.56 |