conftrace_
← Back to papers
2018 SEMEVAL SemEval 2018

Epita at SemEval-2018 Task 1: Sentiment Analysis Using Transfer Learning Approach

🌉 Interdisciplinary Bridge - Artificial Intelligence and Machine Learning and Natural Language Processing
🧭 Keyword Pioneer - emotion intensity
🐣 Hot Topic Early Bird - emotion intensity
🐝 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

Guillaume Daval-Frerot , Abdesselam Bouchekif , Anatole Moreau

Topics

Artificial Intelligence > Learning Paradigms > Transfer Learning Machine Learning > Learning Types > Transfer Learning Natural Language Processing > Applications > Sentiment Analysis

Keywords

transfer learning sentiment analysis text classification deep learning sentiment intensity emotion intensity valence prediction
Download PDF

Related papers

Zewen at SemEval-2018 Task 1: An Ensemble Model for Affect Prediction in Tweets 2018
TeamCEN at SemEval-2018 Task 1: Global Vectors Representation in Emotion Detection 2018
NEUROSENT-PDI at SemEval-2018 Task 3: Understanding Irony in Social Networks Through a Multi-Domain Sentiment Model 2018
NewsReader at SemEval-2018 Task 5: Counting events by reasoning over event-centric-knowledge-graphs 2018
NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs 2018