Titlebook: Knowledge Discovery, Knowledge Engineering and Knowledge Management; 7th International Jo Ana Fred,Jan L.G. Dietz,Joaquim Filipe Conference

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Business Ethics as Personal Ethicsd in the business ethics world. Its performance is then assessed, resulting in a relative failure of the huge efforts of the business world in recent decades, as the public doubts the moral sincerity of managers..The diagnostics of this credibility disease points to a flawed trust on the mechanic an

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Automatic Generation of Poetry Inspired by Twitter TrendsTwitter social network. The presented system searches for tweets that mention a given topic, extracts the most frequent words in those tweets, and uses them as seeds for the generation of new poems. The set of seeds might still be expanded with semantically-relevant words. Generation is performed by

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Exploiting Guest Preferences with Aspect-Based Sentiment Analysis for Hotel Recommendationtiment analysis to recommend hotels because whether or not the hotel can be recommended depends on the guest preferences related to the aspects of a hotel. For each aspect of a hotel, we identified the guest preference by using dependency triples extracted from the guest reviews. The triples represe

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Piecewise Factorization for Time Series Classificationll known for its high accuracy. However, the high computational complexity of DTW can lead to the expensive time consumption of the classifier. An effective solution is to compute DTW in the piecewise approximation space (PA-DTW). However, most of the existing piecewise approximation methods must pr

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Cross-Domain Sentiment Classification via Polarity-Driven State Transitions in a Markov Model negative or neutral polarity to free text concerning services, products, TV programs, and so on. Learning accurate models requires a considerable effort from human experts that have to properly label text data. To reduce this burden, cross-domain approaches are advisable in real cases and transfer

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A Word Prediction Methodology Based on Posgramss is restricted to the ones fulfilling the predicted part of speech; to this aim a novel algorithm based on “posgrams” analysis is also proposed. Then, in a second step, a word prediction algorithm is applied on the reduced words set. The work quantifies the advantages in predicting a word part of s

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