Hybrid Method for Emotion and Sarcasm Classification in Polish Based on English Dedicated Methods

Artificial intelligence and natural language processing are rapidly developing fields. Natural Language Processing (NLP), like other Machine Learning (ML), Deep Learning (DL), and data processing tasks, requires a large amount of data to be effective. Despite the emergence of newer and better NLP models, text processing in languages other than English, such as Polish, is still problematic. Applications that recognize emotion or sarcasm in texts, among others, as those that could help people with intellectual disabilities face many challenges, from a lack of data in a specific language to a shortage of solutions dedicated to such problems. Responding to this need could be the hybrid model created as part of this research. The paper presents the proposal of hybrid method used for emotion and sarcasm classification in Polish that was based on English dedicated methods together with its implementation and evaluation based on performed experiments using the proposed datasets.