← Back to papers
2017 SEMEVAL SemEval 2017

funSentiment at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs Using Word Vectors Built from StockTwits and Twitter

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — sentiment-specific embedding
🐝 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

Quanzhi Li , Sameena Shah , Armineh Nourbakhsh , Rui Fang , Xiaomo Liu

Topics

Machine Learning > Core Methods > Representation Learning Natural Language Processing > Understanding > Sentiment Analysis

Keywords

sentiment analysis word embedding financial microblog fine-grained sentiment sentiment-specific embedding
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