Textual Feature Ensemble-Based Sarcasm Detection in Twitter Data
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-5285-4_44
Reference8 articles.
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2. A. Ghosh, G. Li et al. SemEval-2015 Task 11: sentiment analysis of figurative language in Twitter Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), Association for Computational Linguistics (2015)
3. C. Hung, Word of mouth quality classification based on contextual sentiment lexicons. Inf. Process. Manage. 53(4), 751–763 (2017)
4. S. Hiai; K. Shimada, A Sarcasm Extraction Method Based on Patterns of Evaluation Expressions. 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) IEEE Conference Publications, 2016
5. R.O. Sinnott et al. My ever changing moods: sentiment-based event detection on the cloud. Proceedings of the 9th International Conference on Utility and Cloud Computing. ACM, 2016
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