3 results for tag: emotion recognition

Emotion recognition for study into populist radical right

InterTextueel is glad to announce its cooperation in a project which will allow us to further improve our sentiment recognition tool for social and political research. Ernst van den Hemel (University of Utrecht) is studying the nature of postsecular society in Europe. He will present a paper in July on the position of religion in populist radical right at the Ian Ramsey Centre for Science and Religion (University of Oxford). He has asked our assistance in helping prepare a dataset and applying automated emotion recognition on it. At the time of writing, we have only taken the first steps to gather data and discuss the basic outline of his research, ...

What emotion was intended, then?

Studies have shown even humans amongst each other frequently disagree about whether a sentence expresses a certain sentiment, and when it does, what type of sentiment it is. Ideally, we want to develop a system where the AI’s judgement agrees as much as possible with average human opinion. By studying the cases where assigning emotions to text is problematic, we can systematically improve our emotion recognition service.

Emotion recognition

InterTextueel launches a new tool to recognize universal emotions in texts. The sentiment analysis service differs from traditional approaches which restrict search to positive or negative signals. Our emotion recognition software provides users with a more fine-grained idear of the mood of a text. Our methodology is knowledge-based and grammar-based and we are using intelligent techniques to detect false positives. Customers can deliver us their own text corpus or dataset and we will create new lexicons for them and fine-tune our algorithm to better match their specific domain and requirements.