conftrace_
← Back to papers
2017 SEMEVAL SemEval 2017

CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification

🌉 Interdisciplinary Bridge - Machine Learning and Natural Language Processing
🧭 Keyword Pioneer - cascade classification
🐣 Hot Topic Early Bird - sarcasm detection
🐝 Cross-Pollinator - Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Raj Kumar Gupta , Yinping Yang

Topics

Machine Learning > Core Methods > Classification Natural Language Processing > Applications > Sentiment Analysis

Keywords

sentiment classification sarcasm detection support vector machine feature engineering sentiment quantification cascade classification
Download PDF

Related papers

ULISBOA at SemEval-2017 Task 12: Extraction and classification of temporal expressions and events 2017
LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network 2017
MayoNLP at SemEval 2017 Task 10: Word Embedding Distance Pattern for Keyphrase Classification in Scientific Publications 2017
Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator 2017
KULeuven-LIIR at SemEval-2017 Task 12: Cross-Domain Temporal Information Extraction from Clinical Records 2017