Sentiment analysis from unstructured text has witnessed a boom in interest in recent years, due to the sheer volume of online reviews and news corpora available in digital form. An accurate method for predicting sentiments could enable us, for instance, to extract opinions from the Internet and...

The last decade has seen a rapid emergence of non-contractual networked services. The standard approach in predicting future customer behavior in those services involves collecting data on a user's past purchase behavior, and building statistical models to extrapolate a user's actions into the...

It is well established in the literature that customer retention is at least as important as customer acquisition, especially in the freemium-based virtual economy, in which individuals are connected by multi-relational social networks, such as the “friendships” and “guilds” (virtual...

Social media data presents challenges for forecasters since one must convert text into data and deal with issues related to these measures being collected at different frequencies and volumes than traditional financial data. In this paper, we use a deep learning algorithm to measure sentiment...