Andreas Auinger

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Opinion mining is crucial for both individuals and companies. Individuals may want to see the opinion of other customers about a product to analyze it before buying it. Companies want to analyze the feedback of customers about their products to make future decisions. So, analyzing customer's opinion and their response is important. Mining is used on(More)
In today’s society, as computers, the Internet, and mobile phones pervade almost every corner of life, the impact of Information and Communication Technologies (ICT) on humans is dramatic. The use of ICT, however, may also have a negative side. Human interaction with technology may lead to notable stress perceptions, a phenomenon referred to as(More)
Environmentally friendly and sustainable initiatives have emerged as important topics in IS research over the last few years. However the existing discussions and scientific contributions in this field are mainly based on case studies and empirical surveys. Less research is firmly based on existing IS theories. Furthermore, little research has been(More)
Both scientific research and anecdotal evidence indicate that human-computer interaction may lead to notable stress perceptions in users. This type of stress is referred to as technostress. So far, most studies used questionnaires to investigate technostress. In this article, we draw upon a different conceptual perspective, namely neurobiology, thereby(More)
The field of opinion mining provides a multitude of methods and techniques to be utilized to find, extract and analyze subjective information, such as the one found on social media channels. Because of the differences between these channels as well as their unique characteristics, not all approaches are suitable for each source; there is no(More)
Assisted Living Systems with Ambient Intelligence technology raise new challenges to system and software engineering. The development of Assisted Living applications requires domain-oriented interdisciplinary research – it is essential to know both the domain and the context. It is also important that context-descriptive prototypes are: (1) an integrated(More)
Information entropy as a universal and fascinating statistical concept is helpful for numerous problems in the computational sciences. Approximate entropy (ApEn), introduced by Pincus (1991), can classify complex data in diverse settings. The capability to measure complexity from a relatively small amount of data holds promise for applications of ApEn in a(More)
Opinion mining deals with scientific methods in order to find, extract and systematically analyze subjective information. When performing opinion mining to analyze content on the Web, challenges arise that usually do not occur in laboratory environments where prepared and preprocessed texts are used. This paper discusses preprocessing approaches that help(More)