Browsing by Author Tran, Thi Oanh

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  • Paraphrase Identification in Vietnamese Documents.PDF.jpg
  • Article


  • Authors: Ngo, Xuan Bach; Tran, Thi Oanh; Nguyen, Trung Hai; Tu, Minh Phuong (2015)

  • In this paper, we investigate the task of paraphrase identification in Vietnamese documents, which identify whether two sentences have the same meaning. This task has been shown to be an important research dimension with practical applications in natural language processing and data mining. We choose to model the task as a classification problem and explore different types of features to represent sentences. We also introduce a paraphrase corpus for Vietnamese, vnPara, which consists of 3000 Vietnamese sentence pairs. We describe a series of experiments using various linguistic features and different machine learning algorithms, including Support Vector Machines, Maximum Ent...

  • Performance Prediction for Students.pdf.jpg
  • Article


  • Authors: Tran, Thi Oanh; Dang, Hai Trieu; Dinh, Viet Thuong; Truong, Thi Minh Ngoc; Vuong, Thi Phuong Thao; Phan, Xuan Hieu (2017)

  • This paper presents a study on Predicting Student Performance (PSP) in academic systems. In order to solve the task, we have proposed and investigated different strategies. Specifically, we consider this task as a regression problem and a rating prediction problem in recommender systems. To improve the performance of the former, we proposed the use of additional features based on course-related skills. Moreover, to effectively utilize the outputs of these two strategies, we also proposed a combination of the two methods to enhance the prediction performance. We evaluated the proposed methods on a dataset which was built using the mark data of students in information technology...

  • Understanding Students’ Learning Experiences through.pdf.jpg
  • Article


  • Authors: Tran, Thi Oanh; Nguyen, Van Thanh (2017)

  • This paper presents a work of mining informal social media data to provide insights into students’ learning experiences. Analyzing such kind of data is a challenging task because of the data volume, the complexity and diversity of languages used in these social sites. In this study, we developed a framework which integrating both qualitative analysis and different data mining techniques in order to understand students’ learning experiences. This is the first work focusing on mining Vietnamese forums for students in natural science fields to understand issues and problems in their education. The results indicated that these students usually encounter problems such as heavy study...

  • 4103-133-7715-1-10-20170719.pdf.jpg
  • Article


  • Authors: Tran, Thi Oanh; Nguyen, Van Thanh (2017)

  • This paper presents a work of mining informal social media data to provide insights into students’ learning experiences. Analyzing such kind of data is a challenging task because of the data volume, the complexity and diversity of languages used in these social sites. In this study, we developed a framework which integrating both qualitative analysis and different data mining techniques in order to understand students’ learning experiences. This is the first work focusing on mining Vietnamese forums for students in natural science fields to understand issues and problems in their education. The results indicated that these students usually encounter problems such as heavy study...

Browsing by Author Tran, Thi Oanh

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 4 of 4
  • Paraphrase Identification in Vietnamese Documents.PDF.jpg
  • Article


  • Authors: Ngo, Xuan Bach; Tran, Thi Oanh; Nguyen, Trung Hai; Tu, Minh Phuong (2015)

  • In this paper, we investigate the task of paraphrase identification in Vietnamese documents, which identify whether two sentences have the same meaning. This task has been shown to be an important research dimension with practical applications in natural language processing and data mining. We choose to model the task as a classification problem and explore different types of features to represent sentences. We also introduce a paraphrase corpus for Vietnamese, vnPara, which consists of 3000 Vietnamese sentence pairs. We describe a series of experiments using various linguistic features and different machine learning algorithms, including Support Vector Machines, Maximum Ent...

  • Performance Prediction for Students.pdf.jpg
  • Article


  • Authors: Tran, Thi Oanh; Dang, Hai Trieu; Dinh, Viet Thuong; Truong, Thi Minh Ngoc; Vuong, Thi Phuong Thao; Phan, Xuan Hieu (2017)

  • This paper presents a study on Predicting Student Performance (PSP) in academic systems. In order to solve the task, we have proposed and investigated different strategies. Specifically, we consider this task as a regression problem and a rating prediction problem in recommender systems. To improve the performance of the former, we proposed the use of additional features based on course-related skills. Moreover, to effectively utilize the outputs of these two strategies, we also proposed a combination of the two methods to enhance the prediction performance. We evaluated the proposed methods on a dataset which was built using the mark data of students in information technology...

  • Understanding Students’ Learning Experiences through.pdf.jpg
  • Article


  • Authors: Tran, Thi Oanh; Nguyen, Van Thanh (2017)

  • This paper presents a work of mining informal social media data to provide insights into students’ learning experiences. Analyzing such kind of data is a challenging task because of the data volume, the complexity and diversity of languages used in these social sites. In this study, we developed a framework which integrating both qualitative analysis and different data mining techniques in order to understand students’ learning experiences. This is the first work focusing on mining Vietnamese forums for students in natural science fields to understand issues and problems in their education. The results indicated that these students usually encounter problems such as heavy study...

  • 4103-133-7715-1-10-20170719.pdf.jpg
  • Article


  • Authors: Tran, Thi Oanh; Nguyen, Van Thanh (2017)

  • This paper presents a work of mining informal social media data to provide insights into students’ learning experiences. Analyzing such kind of data is a challenging task because of the data volume, the complexity and diversity of languages used in these social sites. In this study, we developed a framework which integrating both qualitative analysis and different data mining techniques in order to understand students’ learning experiences. This is the first work focusing on mining Vietnamese forums for students in natural science fields to understand issues and problems in their education. The results indicated that these students usually encounter problems such as heavy study...