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Browsing by Author Vu, Thi Que Anh

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  • Student report

  • Applying machine learning methods for automatic classification of mental illness types among young people in Vietnam based on social media text data

    • Authors: Vu, Thi Que Anh; Nguyen, Thuy Duong; Do, Thuy Trang; Bui, Ngoc Diep; Nguyen, Thu Hoai;  Advisor: Tran, Thi Oanh (2024)

  • These days, mental illness is quite common and a major source of distress in people's lives, affecting the health and well-being of society as a whole. A behavioral or mental pattern that significantly impairs one's ability to function or causes considerable discomfort is referred to as mental illness, sometimes known as a psychiatric disorder. Another symptom of a mental illness is a clinically significant disruption in a person's behavior, emotion control, or thought processes, frequently in social situations. These disruptions might manifest as isolated incidents, ongoing, or relapsing-remitting. The prevalence of depression in particular and mental health issues in general among...
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  • Final Year Project (FYP)

  • Using machine learning techniques for stance detection

    • Authors: Vu, Thi Que Anh;  Advisor: Tran, Thi Oanh (2024)

  • In recent years, social media has seen exponential growth, becoming a primary source for daily news updates and a platform for individuals to discuss various issues and express personal opinions. These contributions can assist policymakers in making informed decisions. However, processing the vast amounts of textual data generated on these platforms can be time-consuming and costly. Therefore, efficient and accurate machine learning techniques are necessary to handle this data. While there is extensive research on highresource languages, studies on low-resource languages remain limited. These languages are less common and often possess complex phonetic structures, making research more...

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Browsing by Author Vu, Thi Que Anh

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 1 to 2 of 2
  • item.jpg
  • Student report

  • Applying machine learning methods for automatic classification of mental illness types among young people in Vietnam based on social media text data

    • Authors: Vu, Thi Que Anh; Nguyen, Thuy Duong; Do, Thuy Trang; Bui, Ngoc Diep; Nguyen, Thu Hoai;  Advisor: Tran, Thi Oanh (2024)

  • These days, mental illness is quite common and a major source of distress in people's lives, affecting the health and well-being of society as a whole. A behavioral or mental pattern that significantly impairs one's ability to function or causes considerable discomfort is referred to as mental illness, sometimes known as a psychiatric disorder. Another symptom of a mental illness is a clinically significant disruption in a person's behavior, emotion control, or thought processes, frequently in social situations. These disruptions might manifest as isolated incidents, ongoing, or relapsing-remitting. The prevalence of depression in particular and mental health issues in general among...
  • item.jpg
  • Final Year Project (FYP)

  • Using machine learning techniques for stance detection

    • Authors: Vu, Thi Que Anh;  Advisor: Tran, Thi Oanh (2024)

  • In recent years, social media has seen exponential growth, becoming a primary source for daily news updates and a platform for individuals to discuss various issues and express personal opinions. These contributions can assist policymakers in making informed decisions. However, processing the vast amounts of textual data generated on these platforms can be time-consuming and costly. Therefore, efficient and accurate machine learning techniques are necessary to handle this data. While there is extensive research on highresource languages, studies on low-resource languages remain limited. These languages are less common and often possess complex phonetic structures, making research more...