Text-mining technologies have substantially affected financial industries. As the data in
every sector of finance have grown immensely, text mining has emerged as an important …

Twitter is among the fastest‐growing microblogging and online social networking services.
Messages posted on Twitter (tweets) have been reporting everything from daily life stories to …

With the increasing popularity of microblogging sites, we are in the era of information
explosion. As of June 2011, about 200 million tweets are being generated everyday …

With the aim to improve accuracy of stereo confidence measures, we apply the random
decision forest framework to a large set of diverse stereo confidence measures. Learning …

We propose a classification model of tweet streams in Twitter, which are representative of
document streams whose statistical properties will change over time. Our model solves …

Increasing popularity of social networking sites like facebook, twitter, google+ etc. is
contributing in fast proliferation of big data. Amongst social Networking sites, twitter is one of …

In social networks services like Twitter, users are overwhelmed with huge amount of social
data, most of which are short, unstructured and highly noisy. Identifying accurate information …

Text classification constitutes a popular task in Web research with various applications that
range from spam filtering to sentiment analysis. To address it, patterns of co-occurring words …

Since its inception, the Internet has been eyed with both hope and caution by traditional
media outlets. For many years, radio looked to the Internet (Web 1.0) to extend their brand …

We study an approach to tweet classification based on distant supervision, whereby we
automatically transfer labels from one social medium to another. In particular, we apply …