Subword Semantic Hashing for Intent Classification in Turkish Language ChatBots

Abstract

In this study, the issue of intent classification in frequently asked questions for chatbots is discussed. There are many studies on this subject. However, most of the studies were conducted for the English language, and the issue of improving the intent classification results for small data sets has not been adequately examined. For this purpose, frequently asked questions data were used with subword semantic hashing method and its effects in Turkish and English languages were examined. According to the results, we observe an increase in classification performance of the subword semantic hashing method in Turkish language and the improvement is significantly higher compared to the English language. In addition, the classification performance results of pretrained the subword semantic hashing is better than the results of neural network models such as CLIP and FastText.