conftrace_
← Back to papers
2019 SEMEVAL SemEval 2019

SINAI at SemEval-2019 Task 3: Using affective features for emotion classification in textual conversations

🌉 Interdisciplinary Bridge - Interdisciplinary and Machine Learning and Natural Language Processing
🧭 Keyword Pioneer - textual conversation
🐝 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

Flor Miriam Plaza-del-Arco , M. Dolores Molina-González , Maite Martin , L. Alfonso Ureña-López

Topics

Machine Learning > Core Methods > Classification Interdisciplinary > Social > Affective Computing Natural Language Processing > Applications > Sentiment Analysis

Keywords

sentiment analysis text classification support vector machine emotion classification affective feature textual conversation
Download PDF

Related papers

CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets 2019
JU_ETCE_17_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets 2019
Atalaya at SemEval 2019 Task 5: Robust Embeddings for Tweet Classification 2019
Lijunyi at SemEval-2019 Task 9: An attention-based LSTM and ensemble of different models for suggestion mining from online reviews and forums 2019
CX-ST-RNM at SemEval-2019 Task 3: Fusion of Recurrent Neural Networks Based on Contextualized and Static Word Representations for Contextual Emotion Detection 2019