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Moral foundations theory explains variations in moral behavior using innate moral foundations: Care, Fairness, Ingroup, Authority, and Purity, along with experimental supports. However, little is known about the roles of and relationships between those foundations in everyday moral situations. To address these, we quantify moral foundations from a large amount of online conversations (tweets) about...
The rise of social networks powered by the emergence of Web 2.0 unleashed a massive amount of generated user content. Concurrently with technology enhancements that facilitated its widespread, Web 2.0 became the engine which hastened the appearance of worldwide mass communication techniques. Alongside its advent, textual analysis changed as new user-centered content failed to comply with traditional...
Consumer choices are enormously influential in the success of the companies and organizations behind the highly competitive global service and product offerings of today. Consumer choice relates to preference, i.e. a set of assumptions a person creates around a service or a product such as convenience, utility or aesthetics. Furthermore, consumer preferences allow ranking of different assumptions...
Analysis of subjectivity is the actively developed direction of research in text mining. The paper presents machine learning experiments on classification of sentiments in forum texts. We explore the difficult task of classification when texts are labeled by several sentiment labels and in this condition we reach the average F-measure equal to 0.805.
In this paper, we investigate the issue of detecting the real-life influence of people based on their Twitter account. We propose an overview of common Twitter features used to characterize such accounts and their activity, and show that these are inefficient in this context. In particular, retweets and followers numbers, and Klout score are not relevant to our analysis. We thus propose several Machine...
Purpose of this paper is what decrease situations of misleading in text, blog, tweet etc. We use Latent Dirichlet Allocation (LDA) for Word Sense Disambiguation (WSD). This paper experiments with a new approaches for WSD. The approach is WSD with author topic model. The availability of this approach is exerted on modeling of sentence on the Twitter. In this study, first flow is author estimate, and...
Today, a new age of engagement and collaboration has emerged with the proliferation of usergenerated content in social networks and generally the Web 2.0, rendering it particularly difficult for enterprises to monitor and act upon all content following conventional data mining methodologies. In this paper, we present our approach for a Future Internet enabler (FITMAN Anlzer) that provides automated,...
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