This paper discusses the “Fine-Grained Sentiment Analysis on Financial Microblogs and
News” task as part of SemEval-2017, specifically under the “Detecting sentiment, humour …

In the last years researchers in the field of intelligent transportation systems have made
several efforts to extract valuable information from social media streams. However, collecting …

Forecasting stock market behavior is an interesting and challenging problem. Regression of
prices and classification of daily returns have been widely studied with the main goal of …

With the rise of Social Media, people obtain and share information almost instantly on a 24/7
basis. Many research areas have tried to gain valuable insights from these large volumes of …

This article is devoted to comparison of various approaches towards sentiment analysis
(polarity classification) of the English financial news. The purpose of the work is to check …

This work aims to understand, formalize and explore the scientific challenges of using
unstructured text data from different Web sources for Online Reputation Monitoring. We here …

Despite of the behemoth utilization of social media platforms for various aspects, which
provides opportunities to analyze and study the social behavior of users, text mining's role …

O Twitter é um microblog em que os usuários podem postar atualizaçoes (tweets) para
amigos (seguidores). A Análise de Sentimentos tem se tornado um importante campo de …

With the rapid development of social media, sentiment classification of financial microblogs
has been a research hotpot. Online financial microblogs contain a wealth of information on …

Sentiment analysis has enormous contributions and vivid utility in many areas of natural
language processing, e-commerce and social network analysis. Although there are several …