Digitalmr Limited

DigitalMR proposes to investigate methods of determining themes in collections of images that accompany social media posts. The methodology is inspired by recent advances in deep learning that have benefited from the availability of large training data sets along with increased computation power through heterogeneous computing. The concept operates unsupe...

DigitalMR proposes to investigate the feasibility of a large scale visual sentiment analysis system. The key goal of the project is to construct a high performance sentiment analysis engine that applies a mid-level representation to bridge the gap between semantic concepts and sentiment/emotion perception. Such systems are increasingly in demand by senior...

Automatic emotion detection in short text posts represents an exciting avenue for R&D at the cross-section of text/data mining in social media. Considering that social media has no geographic or time boundaries, people are posting comments from everywhere and while in different emotional states. Therefore, organisations are interested to know the emotions...

The Fareviz project aims to build innovative new digital services around a data warehouse of newly opened rail fares from RSP (part of the Association of Train operating companies). The project will offer analytics and visualisations around the 1.25bn possible rail fares as defined over permitted routes, with discount options and by different operators. T...

DigitalMR proposes to develop a real-time social media marketing monitoring system. It will combine data from corporate systems and millions of blogs, boards, videos and news from different social media sites to present complex information quickly and clearly. Such systems are increasingly in demand by senior marketing executives who look for ways to sift...

DigitalMR will work with cybersecurity experts to conduct critical security audits for its software as a service platforms.

The evolution of the internet, social media networking and 24h multimedia channels means that there are many information sources from which various views about a subject such as brand, topic or product category may be drawn. The individual postings via online channels are numerous, meaning that a significant opportunity has emerged for companies to learn ...