COMMIT at SemEval-2017 Task 5: Ontology-based Method for Sentiment Analysis of Financial Headlines

Kim Schouten; Flavius Frasincar; Franciska de Jong

2017 SemEval SemEval 2017

COMMIT at SemEval-2017 Task 5: Ontology-based Method for Sentiment Analysis of Financial Headlines

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Kim Schouten, Flavius Frasincar, Franciska de Jong

Topics

Machine Learning > Core Methods > Regression Natural Language Processing > Applications > Sentiment Analysis Machine Learning > Core Methods > Support Vector Machine

Keywords

sentiment analysis support vector regression support vector machine feature engineering financial domain domain ontology ontology-based feature

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