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2017 SEMEVAL SemEval 2017

ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — twitter message
🐝 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

Yunxiao Zhou , Man Lan , Yuanbin Wu

Topics

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

Keywords

sentiment analysis natural language processing text classification word embedding polarity classification twitter message
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