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Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter:
  predicting sentiment from financial news headlines

Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter: predicting sentiment from financial news headlines

1 May 2017
Andrew Moore
Paul Rayson
ArXivPDFHTML

Papers citing "Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter: predicting sentiment from financial news headlines"

4 / 4 papers shown
Title
A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis
A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis
Sebastian Ruder
Parsa Ghaffari
J. Breslin
58
270
0
09 Sep 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
269
11,152
0
14 Mar 2016
Leverage Financial News to Predict Stock Price Movements Using Word
  Embeddings and Deep Neural Networks
Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks
Yang Peng
Hui Jiang
AIFin
67
85
0
24 Jun 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
660
31,490
0
16 Jan 2013
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