Abstract
\nWith the Internet 2.0 era, managing user emotions is a problem that more and more actors are interested in. Historically, the \ufb01rst notions of emotion sharing were expressed and de\ufb01ned with emoticons. They allowed users to show their emotional status to others in an impersonal and emotionless digital world. Now, in the Internet of social media, every day users share lots of content with each other on Facebook, Twitter, Google+ and so on. Several new popular web sites like FlickR, Picassa, Pinterest, Instagram or DeviantArt are now
\nspeci\ufb01cally based on sharing image content as well as personal emotional status. This kind of information is economically very valuable as it can for instance help commercial companies sell more e\ufb03ciently. In fact, with this king of emotional information, business can made where companies will better target their customers needs, and\/or even sell them more products. Research has been and is still interested in the mining of emotional information from user data\u00a0 since then. In this paper, we focus on the impact of emotions from images that have been collected from search image engines. More\u00a0 speci\ufb01cally our proposition is the creation of a \ufb01ltering layer applied on the results of such image search engines. Our peculiarity relies in the fact that it is the \ufb01rst attempt from our knowledge to \ufb01lter image search engines results with an emotional \ufb01ltering approach.<\/p>\n
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Improvement of natural image search engines results by emotional \ufb01ltering Abstract With the Internet 2.0 era, managing user emotions is a problem that more and more actors are interested in. Historically, the \ufb01rst notions of emotion sharing were expressed and de\ufb01ned with emoticons. They allowed users to show their emotional status to others in an … Continuer la lecture de new article in Creative technologies<\/span>