Text Emotion data labeling specialist
Worked on a large scale text data based project focused on emotion recognition for mechine learning model training. the task involved analyzing short and laarge text samples and accurately classifying emotional state such as happiness, sadness, anger, fear, neutrality and mixed emotions. followed strict annotation guidelines to ensure high data quality and consistency contributing to the development of more accurate NLP and sentiment analysis models