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2017 SemEval SemEval 2017

TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news

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

Leon Rotim, Martin Tutek, Jan Šnajder

Topics

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

Keywords

sentiment analysis support vector regression word embedding financial news fine-grained sentiment
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