FinSentiA: Sentiment Analysis in English Financial Microblogs
2018-05-01JEPTALNRECITAL 2018Unverified0· sign in to hype
Thomas Gaillat, Ann Sousa, a, Manel Zarrouk, Brian Davis
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
FinSentiA: Sentiment Analysis in English Financial Microblogs The objective of this paper is to report on the building of a Sentiment Analysis (SA) system dedicated to financial microblogs in English. The purpose of our work is to build a financial classifier that predicts the sentiment of stock investors in microblog platforms such as StockTwits and Twitter. Our contribution shows that it is possible to conduct such tasks in order to provide fine grained SA of financial microblogs. We extracted financial entities with relevant contexts and assigned scores on a continuous scale by adopting a deep learning method for the classification.