arXiv 1704.009392017-04-04cs.CLcs.CY

Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines

Fortia Financial Solutions（Fortia金融解决方案）；Fondazione Bruno Kessler（布鲁诺·凯斯勒基金会）

Youness Mansar, Lorenzo Gatti, Sira Ferradans, Marco Guerini, Jacopo Staiano

备注：: 6 pages, 1 figure; accepted for publication at the International Workshop on Semantic Evaluation (SemEval-2017) to be held in conjunction with ACL 2017

英文摘要：

In this paper, we describe a methodology to infer Bullish or Bearish sentiment towards companies/brands. More specifically, our approach leverages affective lexica and word embeddings in combination with convolutional neural networks to infer the sentiment of financial news headlines towards a target company. Such architecture was used and evaluated in the context of the SemEval 2017 challenge (task 5, subtask 2), in which it obtained the best performance.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。