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Nowadays, students and young people are facing so many mental health problems such as stress, depression, anxiety, etc. Most of the humans express their feelings through face, so that we can detect their emotion from their facial expression. To achieve this, we follow certain functions which includes integrated and trained model like OpenCV, TensorFlow and integrated CNN model to detect the facial expression and analyze their emotions. To normalize the emotion we use recommendation system, done by natural language processing. If it is a positive or good emotion it captures it as a memory and if it is a negative or bad emotion then it recommends a happy note which can be a song, a picture or favorite quote that had been recorded before and thus it helps to recover people from negative state of emotion to positive mental state. The result of this paper is to develop a system to normalize mental state of a person by identifying their emotion.

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Recommendation System Using NLP Based on Emotion Detection by CNN

  • 章节

  • 发表日期：

    2025年

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  • S. Jacophine Susmi,
  • S. S. Ramya,
  • N. R. Wilfred Blessing,
  • V. Shathis Kannan

摘要

Nowadays, students and young people are facing so many mental health problems such as stress, depression, anxiety, etc. Most of the humans express their feelings through face, so that we can detect their emotion from their facial expression. To achieve this, we follow certain functions which includes integrated and trained model like OpenCV, TensorFlow and integrated CNN model to detect the facial expression and analyze their emotions. To normalize the emotion we use recommendation system, done by natural language processing. If it is a positive or good emotion it captures it as a memory and if it is a negative or bad emotion then it recommends a happy note which can be a song, a picture or favorite quote that had been recorded before and thus it helps to recover people from negative state of emotion to positive mental state. The result of this paper is to develop a system to normalize mental state of a person by identifying their emotion.