Performance Tags- Who's running the show?

We describe a pilot study which specifically examines the prevalence and characteristics of performance tags on several sites. Identifying post-coordination of tags as a useful step in the study of this phenomenon, as well as other approaches to leveraging tags based on text and/or sentiment analysis, we demonstrate an approach to automation of this process, postcoordinating (segmenting) terms by means of a probabilistic model based around Markov chains. The effectiveness of this approach to parsing is evaluated with respect to the wide range of constructions visible on various services. Several candidate approaches for the latter stages of automated classification are identified

A multimodal dataset of real world mobility activities in Parkinson’s disease

Parkinson’s disease (PD) is a neurodegenerative disorder characterised by motor symptoms such as gait dysfunction and postural instability. Technological tools to continuously monitor outcomes could capture the hour-by-hour symptom fluctuations of PD. Development of such tools is hampered by the lack of labelled datasets from home settings. To this end, we propose REMAP (REal-world Mobility Activities in Parkinson’s disease), a human rater-labelled dataset collected in a home-like setting. It includes people with and without PD doing sit-to-stand transitions and turns in gait. These discrete activities are captured from periods of free-living (unobserved, unstructured) and during clinical assessments. The PD participants withheld their dopaminergic medications for a time (causing increased symptoms), so their activities are labelled as being “on” or “off” medications. Accelerometry from wrist-worn wearables and skeleton pose video data is included. We present an open dataset, where the data is coarsened to reduce re-identifiability, and a controlled dataset available on application which contains more refined data. A use-case for the data to estimate sit-to-stand speed and duration is illustrated

VIDEO STREAMING: REMOTE PARTICIPATION AND ENGAGEMENT IN THE CONFERENCE ENVIRONMENT ABSTRACT

Video streaming and videoconferencing technology is now attainable using inexpensive and widely available equipment. This paper uses of a set of case studies conducted at a recent conference in the UK to investigate the technical and organizational issues related to differing approaches to the technology. Two approaches, videoconferencing over the Access Grid with VRVS and a simple mono-directional video stream, were used back-to-back. Effectiveness, scalability and applicability of each approach are compared in various applications. In each case, a synchronous but asymmetric feedback channel was made available, making use of a modality of lower bandwidth; a simple, moderated IRC chat system. Asynchronous feedback was also collected post factum using blogs and content distribution services such as Flickr. Feedback from users of each channel is analysed, and recommendations are given for future use of video streaming in conferences, workshops and interactive events. Relevant current research and opportunities for future work are identified

Working with text: tools, techniques and approaches for text mining

Text mining tools and technologies have long been a part of the repository world, where they have been applied to a variety of purposes, from pragmatic aims to support tools. Research areas as diverse as biology, chemistry, sociology and criminology have seen effective use made of text mining technologies. Working With Text collects a subset of the best contributions from the 'Working with text: Tools, techniques and approaches for text mining' workshop, alongside contributions from experts in the area. Text mining tools and technologies in support of academic research include supporting research on the basis of a large body of documents, facilitating access to and reuse of extant work, and bridging between the formal academic world and areas such as traditional and social media. Jisc have funded a number of projects, including NaCTem (the National Centre for Text Mining) and the ResDis programme. Contents are developed from workshop submissions and invited contributions, including: Legal considerations in text analysis/mining; Sentiment analysis in Web 2.0 ; Text mining for biochemistry; Automated indexing and metadata extraction; and Using text mining tools for social network analysis