Dòng Nội dung
1
A transformation method for aspect-based sentiment analysis / Đặng Văn Thìn,... // Tạp chí Tin học và Điều khiển học Vol.34, No 4/2018

tr.323-333

Along with the explosion of user reviews on the Internet, sentiment analysis has becomeone of the trending research topics in the field of natural language processing. In the last five years,many shared tasks were organized to keep track of the progress of sentiment analysis for various lan-guages. In the Fifth International Workshop on Vietnamese Language and Speech Processing (VLSP2018), the Sentiment Analysis shared task was the first evaluation campaign for the Vietnamese lan-guage. In this paper, we describe our system for this shared task. We employ a supervised learningmethod based on the Support Vector Machine classifiers combined with a variety of features. Weobtained the F1-score of 61% for both domains, which was ranked highest in the shared task. For theaspect detection subtask, our method achieved 77% and 69% in F1-score for the restaurant domainand the hotel domain respectively.

2
A transformation method for aspect-based sentiment analysis / Đặng Văn Thìn... // Tạp chí Tin học và Điều khiển học Vol.34, No 4
2018.
tr.323-333

Along with the explosion of user reviews on the Internet, sentiment analysis has becomeone of the trending research topics in the field of natural language processing. In the last five years,many shared tasks were organized to keep track of the progress of sentiment analysis for various lan-guages. In the Fifth International Workshop on Vietnamese Language and Speech Processing (VLSP2018), the Sentiment Analysis shared task was the first evaluation campaign for the Vietnamese lan-guage. In this paper, we describe our system for this shared task. We employ a supervised learningmethod based on the Support Vector Machine classifiers combined with a variety of features. Weobtained the F1-score of 61% for both domains, which was ranked highest in the shared task. For theaspect detection subtask, our method achieved 77% and 69% in F1-score for the restaurant domainand the hotel domain respectively.

3
Analyse de textes : fiches de cours / Nguyễn Thị Tú Anh.
Hà Nội : Đại học Hà Nội, 2011
69 p.; 30 cm.



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Áp dụng kĩ thuật phân tích văn bản vào đọc hiểu và dịch thuật / Vũ Hải Ngân ; Nguyễn Thị Tú Anh hướng dẫn. // Kỷ yếu hội nghị khoa học sinh viên Khoa tiếng Pháp 2020
Hà Nội : Đại học Hà Nội, 2020
tr. 442-453

Bài viết nhấn mạnh vào mối tương quan giữa kĩ năng phân tích, đọc hiểu văn bản với loại hình dịch viết.

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Các phương tiện liên kết và tổ chức văn bản / Nguyễn Chí Hòa
Hà Nội : Đại học Quốc gia Hà Nội, 2008
291 tr. ; 24 cm.