The Emotional Landscape of Language: Exploring English and Turkish Sentiment with LSTMs and Diverse ML Architectures

Emotion detection from text has gained significant attention in recent years due to its potential applications in various fields, such as customer sentiment analysis, mental health monitoring, and human-computer interaction. This report explores the development and evaluation of emotion detection models for both English and Turkish languages