Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation

This paper introduces a gamified framework for fine-grained sentiment analysis and emotion detection. We present a flexible tool, Sentimentator, that can be used for efficient annotation based on crowd sourcing and a selfperpetuating gold standard. We also present a novel dataset with multi-dimensional annotations of emotions and sentiments in movie subtitles that enables research on sentiment preservation across languages and the creation of robust multilingual emotion detection tools. The tools and datasets are public and opensource and can easily be extended and applied for various purposes.Peer reviewe

Self-erasing and rewritable wettability patterns on ZnO thin films

Self-erasing patterns allow a substrate to be patterned multiple times or could store temporary information for secret communications, and are mostly based on photochromic molecules to change the color of the pattern. Herein we demonstrate self-erasing patterns of wettability on thin ZnO films made by atomic layer deposition. Hydrophilic patterns are written using UV light and decay spontaneously, i.e. become hydrophobic, or are erased aided by vacuum conditions or heat. We demonstrate that these patterns can be applied for channels to confine flow of water without physical walls.Peer reviewe

Metsälain mukaisten erityisen tärkeiden suoelinympäristöjen määrittäminen ja metsälakikartoituksen luotettavuus Lounais-Suomessa

Tieteen tor

Weak signals in crisis prevention

This paper seeks to connect weak signals with the ability to analyze the human environment afforded by information technology. Two fields in which the application of weak signals is followed with particular interest are military and industrial espionage. Those involved in the war of terrorism are keen to utilize any opportunity to anticipate terrorist actions. In this war, maintaining privacy is not a major concern