Sentiment analysis of reviews for depression using machine learning techniques
利用机器学习技术对评论进行抑郁症情感分析
摘要
This project successfully implemented a machine learning-based system to detect and predict depressive tendencies by analyzing social media texts.
Our system utilizes a combination of advanced text analysis techniques and sentiment analysis methods to effectively extract emotional tendencies and mental health indicators from users’ social media activities.
Through this approach, we not only improve our ability to recognize early signs of depression, but also provide individuals and healthcare professionals with a powerful tool to better understand and cope with depression.
该项目成功实施了一个基于机器学习的系统，通过分析社交媒体文本来检测和预测抑郁倾向。
我们的系统结合了先进的文本分析技术和情感分析方法，可以有效地从用户的社交媒体活动中提取情感倾向和心理健康指标。
通过这种方法，我们不仅提高了识别抑郁症早期迹象的能力，还为个人和医疗保健专业人员提供了一个强大的工具，以更好地理解和应对抑郁症。