Papers with sentiment composition processes
Learning Sentiment Composition from Sentiment Lexicons (C18-1)
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Orith Toledo-Ronen, Roy Bar-Haim, Alon Halfon, Charles Jochim, Amir Menczel, Ranit Aharonov, Noam Slonim
| Challenge: | Sentiment composition is a fundamental problem in sentiment analysis. |
| Approach: | They propose a method for learning sentiment composition from a large, unlabeled corpus . they automatically generate large sentiment lexicons of bigrams and unigrams . |
| Outcome: | The proposed approach is validated through manual annotation and sentiment classification experiments with phrase-level and sentence-level benchmarks. |