This paper builds upon and extends previous work on multi-modal mood classification (i.e., combining audio and lyrics) by analyzing in-depth those feature types that have shown to provide statistically significant improvements in the classification of individual mood categories. The dataset used in this study comprises 5,296 songs (with lyrics and audio for each) divided into 18 mood categories...

Privacy protection may be defined as replacing the original content in an image region with a (less intrusive) content having modified target appearance information to make it less recognizable by applying a privacy protection technique. Indeed, the development of privacy protection techniques also needs to be complemented with an established objective evaluation method to facilitate their asse...

Tagging learning resources in repositories or web portals offers a way to meaningfully describe these resources. The more tags there are, however, the more difficult it is to find one’s way around the repository, especially when they are user-generated free-text tags. This paper therefore presents a visualisation of tag clusters based on higher-order co-occurrences that allows users of such rep...

Marketing a brand and analyzing the effectiveness of promotional campaigns have always been major topics for marketing. In today's world, marketers use many data sources to analyze the behavior and responses of their consumers. This mainly involves data from Point of Sales, consumer surveys or home visits. However, with the advancement of web technologies, there is one more place where data is ...

The paper presents a new method of systematically discovering relevant contextual information from the user-generated reviews and, therefore, converting the latent contextual information into the explicit representational view in order to provide better recommendations to the users when the reviews complement traditional ratings used in recommender systems. In particular, we classify all the us...

User-generated contents (UGC) such as online reviews are inherently incomplete since we do not capture the opinions of users who do not write a review. These silent users may have systematically different online experiences than those who speak up. These differences can be driven by users‟ differing sentiments towards their online experiences as well as their disposition to generate UGC. Indisc...

Over the last several decades, the media landscape has evolved into a complex and dynamic conglomeration of both traditional and interactive media that seek to serve the needs of today’s fast-paced lifestyles. While traditional media are struggling under the weight of increased segmentation, the interactive environment has shown the capacity to capitalize on this fragmented market by offering m...

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This paper considers the creation and consumption of content on user generated content platforms, e.g., reviews, articles, chat, videos, etc. On these platforms, users’ expectations regarding the amount and timing of participation by others becomes germane to their own involvement levels. Accordingly, we develop a dynamic rational expectations equilibrium model of joint consumption and generati...

User-generated content has dominated the web’s recent growth and today the so-called real-time web provides us with unprecedented access to the real-time opinions, views, and ratings of millions of users. For example, Twitter’s 200m+ users are generating in the region of 1000+ tweets per second. In this work, we propose that this data can be harnessed as a useful source of recommendation knowle...