Topic
Surprise
About: Surprise is a research topic. Over the lifetime, 4371 publications have been published within this topic receiving 99386 citations.
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01 Jan 2011
TL;DR: In this work, several algorithms for learning were assessed and compared according to their accuracy of emotion detection and clas- sification of news headlines and the best results were achieved using the SVM (Support Vector Machine) method with a linear kernel.
Abstract: With the growth of internet community, many different text-based documents are produced. Emotion detection and classification in text becomes very important in human-machine interaction or in human-to-human internet communication with this growth. This article refers to this issue in Czech texts. Headlines were extracted from Czech newspapers and Fear, Joy, Anger, Disgust, Sadness, and Surprise emotions are detected. In this work, several algorithms for learning were assessed and compared according to their accuracy of emotion detection and clas- sification of news headlines. The best results were achieved using the SVM (Support Vector Machine) method with a linear kernel, where the presence of the dominant emo- tion or emotions was analyzed. For individual emotions the following results were obtained: Anger was detected in 87.3 %, Disgust 95.01%, Fear 81.32 %, Joy 71.6 %, Sad- ness 75.4 %, and Surprise 71.09 %.
31 citations
Journal Article•
TL;DR: In this paper, the authors proposed a theoretical framework of antecedents and outcomes of the salient experience memorizing and cocreation process and found that personnel's responsiveness, sympathy, professionalism and personalized and unexpected surprises are potential competitive advantages.
Abstract: The unique and memorable experience emerges as a strategic choice for tourism and event management organizations in order to capture an intangible differentiation. The paper proposes a theoretical framework of antecedents and outcomes of the salient experience memorizing and cocreation process. A survey was conducted with 80 post-graduate students who described a written narrative of their most memorable experiences. These experiences were classified within a grid (Pine and Gilmore, 1988): (un)controlled entertainment (D1/D2) versus (un)controlled exploring (D3/D4). Personnel's responsiveness, sympathy, professionalism and personalized and unexpected surprises are pointed out as potential competitive advantages. The experience-mix was at some extent predicted in terms of self-concept attributes (organized/disorganized, rugged/delicate, and common/unique) and ideal hotel preferences (good for shopping; promotions; and children friendly).
31 citations
TL;DR: In this paper, a conceptual purpose based on a series of completed projects and publications on flood risk management in the urban region of Dresden is defined, which highlights two strategic options for focusing collaboration of public and private actors: planning for flood risk reduction and searching for resilience.
31 citations
Book•
01 Jan 1999
TL;DR: Under The Radar is an adventure story about the surprising rise of Red Hat, Inc. and the open source movement, and how both took the software industry, including industry giant Microsoft, by surprise.
Abstract: From the Publisher:
Under The Radar is an adventure story about the surprising rise of Red Hat, Inc. and the open source movement, and how both took the software industry, including industry giant Microsoft, by surprise.
31 citations
TL;DR: The authors have been a long-time admirer of Sykes, and in particular of her ground-breaking and influential The Norman Conquest: A Zooarchaeological Perspective (2007), it was no surprise to fin...
Abstract: Having been a long-time admirer of Naomi Sykes’ work, and in particular of her ground-breaking and influential The Norman Conquest: A Zooarchaeological Perspective (2007), it was no surprise to fin...
31 citations