The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …

Stock Market trend prediction will always remain a challenging task due to stochastic nature.
The enormous amount of data generated by the news, blogs, reviews, financial reports and …

We propose a new framework to uncover the relationship between news events and real
world phenomena. We present the Predictive Causal Graph (PCG) which allows to detect …

The multimedia contents shared on social network reveal public sentimental attitudes toward
specific events. Therefore, it is necessary to conduct sentiment analysis automatically on …

We examine whether passivity on firms' corporate Facebook pages moderates the
relationship between the sentiment among social media users toward the firms and their …

As a representative of the capital market, the stock market has become a barometer of the
national economy. The stock prices fluctuation plays as a benchmark role in leading public …

Twitter is a widely used online social media. In this paper, we investigate whether the daily
number of tweets that mention any of the telecom companies ie Verizon, T-Mobile, AT&T and …

In this thesis, we outline the research on the design of Domain Faithful Deep Learning
Systems, that translate expert-understandable domain knowledge and constraints to be …

Corporate Disclosure and Investor Sentiment: The Role of CSR Communication, Government
Policies, and Audit Data Analytics DISSE Page 1 Corporate Disclosure and Investor Sentiment …

The present study examines the effect of conventional hashtags\& cashtags at social
networks on the stock returns of S\&P500 companies. In the first step, by creating an …