Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring
  Sentiment towards Brands from Financial News Headlines   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.

2
The categories of this paper are: math
0
The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics