"MoodMirror Dataset for Sentiment and Emotion Analysis"

"This dataset was generated as part of the MoodMirror: A Mental Health Journal with AI-Powered Sentiment and Emotion Analysis project. It consists of anonymized journal entries collected through a user-facing journaling interface. Each entry is associated with automated sentiment and emotion labels generated using NLP models such as VADER and TextBlob. The dataset supports research in affective computing, mental health tracking, and personalized mood analysis. It can be used to evaluate sentiment classification, emotion recognition, and mental well-being patterns over time.The dataset is stored in CSV format and includes fields such as:Journal Entry TextSentiment Sentiment ScoreKeywordDateThis dataset is intended for educational and research purposes in the domain of artificial intelligence, mental health, and human-computer interaction."