3 results for tag: emotion recognition
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.
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.