Analyzing collaborative learning processes automatically

In this article we describe the emerging area of text classification research focused on the problem of collaborative learning process analysis both from a broad perspective and more specifically in terms of a publicly available tool set called TagHelper tools. Analyzing the variety of pedagogically valuable facets of learners’ interactions is a time consuming and effortful process. Improving automated analyses of such highly valued processes of collaborative learning by adapting and applying recent text classification technologies would make it a less arduous task to obtain insights from corpus data. This endeavor also holds the potential for enabling substantially improved on-line instruction both by providing teachers and facilitators with reports about the groups they are moderating and by triggering context sensitive collaborative learning support on an as-needed basis. In this article, we report on an interdisciplinary research project, which has been investigating the effectiveness of applying text classification technology to a large CSCL corpus that has been analyzed by human coders using a theory-based multidimensional coding scheme. We report promising results and include an in-depth discussion of important issues such as reliability, validity, and efficiency that should be considered when deciding on the appropriateness of adopting a new technology such as TagHelper tools. One major technical contribution of this work is a demonstration that an important piece of the work towards making text classification technology effective for this purpose is designing and building linguistic pattern detectors, otherwise known as features, that can be extracted reliably from texts and that have high predictive power for the categories of discourse actions that the CSCL community is interested in

Argumentation Mining in User-Generated Web Discourse

The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In this article, we go beyond the state of the art in several ways. (i) We deal with actual Web data and take up the challenges given by the variety of registers, multiple domains, and unrestricted noisy user-generated Web discourse. (ii) We bridge the gap between normative argumentation theories and argumentation phenomena encountered in actual data by adapting an argumentation model tested in an extensive annotation study. (iii) We create a new gold standard corpus (90k tokens in 340 documents) and experiment with several machine learning methods to identify argument components. We offer the data, source codes, and annotation guidelines to the community under free licenses. Our findings show that argumentation mining in user-generated Web discourse is a feasible but challenging task.Comment: Cite as: Habernal, I. & Gurevych, I. (2017). Argumentation Mining in User-Generated Web Discourse. Computational Linguistics 43(1), pp. 125-17

Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-Blog

2015-2016 > Academic research: refereed > Publication in refereed journa

Talking to the Empowered Consumer Dealing with the Shift of Power

The concept of the empowered consumer cannot be considered as a field of exact scientific research yet. Nevertheless, it has become part of scholars’ interest and gains more and more importance in the research of organisational relationships with customers. It is suggested that two influencing criteria are especially at the forefront: The emergence of the Internet, which effected that barriers to collect and to disseminate information across boundaries were decisively reduced. As a consequence consumers could organise globally and collect and exchange information and experiences about organisations and their products. Furthermore, flexible interactivity between companies and consumers, but particularly from consumers to consumers enable direct interaction changing many previously established rules of doing business. Due to these new opportunities new business models developed and the proposition is that intangible values such as reputation gained even more importance and influence tangible outcomes. Suggestions are that 1.), this concept links communication, corporate behaviour and legitimacy of activities influencing reputation as a driver of value. 2.), reputation as a corporate asset can be managed but it is beyond the pure control of an organisation. 3.), reputation is part of public perception, which an organisation has to build, maintain and expand depending on communicative abilities and willingness to accept consumers as a centre of power. The following discussion will present Grunig et al.’s communication model explaining changed organisational challenges. It is put forward as a framework for marketing for times in which online opportunities added to the earlier b2b and b2c models c2c and P2P considerations and architectures. The annual studies of the market research institute puls undertaking regular representative research among German consumers since November 2005 will present evidence for the relationship of improved prices, which may be achieved, and the perception a firm possesses. This paper deals mostly with German examples and data, but the hypothesis is that a) the general situation in other Western countries is alike, but needs b) specific additional research, since cultural differences are expected to have a considerable influence, especially when criteria such as individualist and collectivist organisation of society and high and low context communication styles are involved. Hence, the results of the same study in different countries are therefore expected to present some variation. Additionally, the Cluetrain Manifesto challenges corporate behaviour of those companies still believing to have the ability to control information disseminated by and written about it. Examples provided will support the hypothesis that powerful consumers may have significant impact on organisational behaviour, decision-making and outcomes. Keywords: Empowered Consumer Concept, Symmetric Two-way communication, Reputation, c2c, P2

Data Mining in Electronic Commerce

Modern business is rushing toward e-commerce. If the transition is done properly, it enables better management, new services, lower transaction costs and better customer relations. Success depends on skilled information technologists, among whom are statisticians. This paper focuses on some of the contributions that statisticians are making to help change the business world, especially through the development and application of data mining methods. This is a very large area, and the topics we cover are chosen to avoid overlap with other papers in this special issue, as well as to respect the limitations of our expertise. Inevitably, electronic commerce has raised and is raising fresh research problems in a very wide range of statistical areas, and we try to emphasize those challenges.Comment: Published at http://dx.doi.org/10.1214/088342306000000204 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

Role of sentiment classification in sentiment analysis: a survey

Through a survey of literature, the role of sentiment classification in sentiment analysis has been reviewed. The review identifies the research challenges involved in tackling sentiment classification. A total of 68 articles during 2015 – 2017 have been reviewed on six dimensions viz., sentiment classification, feature extraction, cross-lingual sentiment classification, cross-domain sentiment classification, lexica and corpora creation and multi-label sentiment classification. This study discusses the prominence and effects of sentiment classification in sentiment evaluation and a lot of further research needs to be done for productive results

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

Exploring Strategic Organizational Engagement in Social Media: A Revelatory Case

There has been little theorizing in information systems (IS) or management literature to inform organizational strategies for social media engagement. Aral et al. (2013) lament the dearth of scholarly work focused on understanding organizations’ high-level social media strategies. In this research, we describe our case research to develop an empirically informed understanding of strategic organizational engagement in social media to advance organizational goals. We present an in-depth case study of strategic social media engagement at a successful multi-national business and IT consulting firm who routinely develops and deploys social media strategies to advance organizational goals. We situate our interpretation in the dynamic capabilities perspective, and present a revelatory case well-suited to developing an empirically-informed understanding of strategic social media engagement to advance organizational goals. We develop an analytic perspective of social media based as social systems, and describe topical collectivities as strategically important members of their ontology