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While fans of classical music were found to be underrepresented on social media and music streaming platforms, they constitute an important target group for music recommender systems. We therefore focus on this group of listeners and investigate a wide range of recommendation approaches and variants for the task of music artist recommendation. Within the group of classical music listeners, we further...
In this proposal, we study the problem of understandinghuman sentiments from large scale collection ofInternet images based on both image features and contextualsocial network information (such as friend comments anduser description). Despite the great strides in analyzing usersentiment based on text information, the analysis of sentimentbehind the image content has largely been ignored. Thus, we...
This contribution introduces an approach for engaging television viewers through second screen devices and dynamic contextual social communities. This approach is being developed as part of a large European research project. It introduces the concept of dynamic contextual social communities for augmenting television viewing when using a combination of smart televisions and smart second screen devices...
This paper presents an opinion mining approach in the domain of Social TV using two different contexts: Twitter user messages for Spanish and English, as well as movie reviews. The main goal of this paper is to study the benefits of opinion mining approaches using ranking skip-gram techniques for processing user feedbacks. To carry out this study it is described a system based on supervised machine...
This paper discusses research studies related to formation of relations among research papers. From the analysis that has been conducted to some references, it can be concluded that there are two types of research paper's relation i.e. a direct relation and indirect relation. The direct relation has the good potential to be further developed than indirect relation. There are three approaches in this...
The current emergency services are mostly using old-fashioned generic voice-based technologies. Hence, proliferating smart and powerful end-user devices, which are quasi-permanently connected to the Internet is still weakly considered. Given that fact, we design and develop YouSOS, a framework extending the usability of conventional SOS services. YouSOS is built in a way that centralizes rescue operations'...
This paper describes current research exploring the adaption of the Bridge21 pedagogical model for the provision of a Computer Science (CS) Continuing Professional Development (CPD) Programme for post-primary/high school teachers in the Republic of Ireland. This paper outlines the design of the programme and explores the delivery of two, week long CS CPD interventions delivered in the authors' home...
Political debates about a reform may sparkle national controversies, by leading members of the community to polarize their opinions and sentiment about the topic addressed. With the rise of social media like Twitter users are encouraged to voice and share their strong and polarized views and in general people are exposed to broader viewpoints than they were before. The large amount of user-generated...
We are exploring whether and how “Digital-Storytelling” can be used to a) attract and engage student apprentices otherwise estranged from STEM-linked career or education pathways b) help student apprentices address the complexities of ill-formed or “wicked” design problems typical of sustainable engineering. Building on preliminary evidence from a pilot 2014 study we hypothesize that apprentices who...
We present an approach to create an Internet slang annotated dictionary to help identifying the level of specific attitudes and moods (specifically aggressiveness, distress, hatefulness and offensiveness) in social networks and social media posts. The annotation refers to the attitudes, with the actual meaning having a low importance. The annotated dictionary is intended for automatic use in the detection...
Text actionability detection is the problem of classifying user authored natural language text, according to whether it can be acted upon by a responding agent. In this paper, we propose a supervised learning framework for domain-aware, large-scale actionability classification of social media messages. We derive lexicons, perform an in-depth analysis for over 25 text based features, and explore strategies...
During disaster especially response and recovery phases, limited bandwidths and high rate of incoming messages make communication network vital resources. Allocating bandwidth to send critical messages such as well-being statuses, assistant activities etc. can determine the effectiveness of the disaster responses as messages are numerous, duplicated, and often timely critical. In this paper, we use...
Knowing the geo-located venue of a tweet can facilitate better understanding of a user's geographic context, allowing apps to more precisely present information, recommend services, and target advertisements. However, due to privacy concerns, few users choose to enable geotagging of their tweets, resulting in a small percentage of tweets being geotagged; furthermore, even if the geo-coordinates are...
Emoticons (e.g., :) and :( ) have been widely used in sentiment analysis and other NLP tasks as features to machine learning algorithms or as entries of sentiment lexicons. In this paper, we argue that while emoticons are strong and common signals of sentiment expression on social media the relationship between emoticons and sentiment polarity are not always clear. Thus, any algorithm that deals with...
The US Army Research Laboratory (ARL) and the Air Force Research Laboratory (AFRL) have established a collaborative research enterprise referred to as the Situational Understanding Research Institute (SURI). The goal is to develop an information processing framework to help the military obtain real-time situational awareness of physical events by harnessing the combined power of multiple sensing sources...
Citation counting is a method to compute impact factor in scientific literature, many authors have criticized this only counting methods because they consider all citation as equal. If a paper's reputation is simply evaluated according to the number of its citations, then incomplete, incorrect or controversial articles may be promoted regardless of their relevance. We developed an annotated corpus...
Social media is an important technological and cultural development with which the new generation of students are intimately familiar and use on a daily basis. As a communications tool social media has vast and varied potential and capabilities. That potential should also be unlocked in the educational space. The social media platforms of Facebook and Twitter were used in undergraduate units at Qatar...
The act of ‘second screening’ involves the use of an additional media screen such as provided by a mobile phone or tablet, to consume content alongside a primary screen such as a TV. In this paper we present findings of a study that explored the feasibility of using second screen technology in a cinema environment. A proposal for the application of second screening within the cinema context is discussed...
The expressivity of virtual, animated agents plays an important role in their believability. While the planning and goal-oriented aspects of agent movements have been addressed in the literature extensively, expressing the emotional state of the agents in their movements is an open research problem. We present our interactive animated agent model with controllable affective movements. We have recorded...
Visitors of museums and cultural heritage sites are not different from other types of citizens and, hence, they are getting more and more engaged into a participatory culture that encourages them to play an active role and not only acting as information consumers. In this paper we describe a technological platform that makes it possible to enable such proactive behavior by supporting social storytelling...
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