# Emotion Recognition

A sentiment analysis model fine-tuned based on the Turkish BERT model, demonstrating outstanding performance on evaluation datasets

A text sentiment classification model based on DistilBERT, fine-tuned on the emotion dataset with an accuracy of 92.6%

An AI model focused on generating and understanding empathetic dialogues, capable of recognizing and responding to users' emotional needs.

The Empathy Dialogue Model is an AI model capable of understanding and generating empathetic conversations, designed to enhance the emotional experience of human-computer interaction.

This model is a text classification model fine-tuned on the emotion classification dataset based on the Microsoft MiniLM architecture, achieving an F1 score of 0.9118 on the evaluation set.

This model is a text classification model fine-tuned on the emotion dataset based on DistilBERT, designed for sentiment analysis tasks.

A Japanese speech emotion recognition model based on the JTES dataset, used to analyze emotional states in speech.