VNU-UET Repository: No conditions. Results ordered -Date Deposited. 2024-03-28T12:08:58ZEPrintshttp://eprints.uet.vnu.edu.vn/images/sitelogo.pnghttps://eprints.uet.vnu.edu.vn/eprints/2016-06-03T15:14:41Z2016-06-03T15:14:41Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/1710This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/17102016-06-03T15:14:41ZMột mô hình hiệu quả đánh giá quan điểm người dùng đối với các thuộc tính sản phẩm sử dụng mạng NơronDuc Hong PhamAnh Cuong Lecuongla@vnu.edu.vnHoan Le2016-05-23T03:31:56Z2016-05-23T03:32:45Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/1534This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/15342016-05-23T03:31:56ZImproving Maximum Entropy Part-of-Speech Tagger with Transformation Based Learning ModelAs well know, part-of-Speech (POS) tagging is basic and central problem of natural language processing branch. Development of a POS tagger will influence several pipelined modules of natural language understanding system including information extraction and retrieval; machine translation; partial parsing and word sense disambiguation. In recent years, there has been a growing interest in data-driven machine learning disambiguation methods for POS tagging with results be very close state-of-art of this problem. Improvement performance of these methods has been posed challenges for researchers. In this paper, we use one of the best machine learning method (Maximum Entropy Model - MEM) to do automatic annotation of part-of-speech in basedline then improve accuracy by using Transformation Based Learning (TBL). Our approach based on an incremental knowledge acquisition method where rules are stored in an exception structure and new rules are only selected to correct the errors are positive on courpus. Experimental results on English Peen Treebank show that our method greatly improve accuracy than the naive baseline model with state-of-the-art accuracy(97.14%). Special, we also do experiments on Vietnamese Viet TreeBank corpus and experimental results show that the proposed Vietnamese POS tagging system outperforms the other state-of-the-art Vietnamese taggers with 93.50% overall accuracy.Ngoc Khuong NguyenDuc Hong PhamAnh Cuong Lecuongla@vnu.edu.vnHong Thai Phampht@vnu.edu.vn2016-05-23T03:13:39Z2016-05-23T03:14:15Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/1543This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/15432016-05-23T03:13:39ZA Least Square based Model for Rating Aspects and Identifying Important Aspects on Review Text DataIn recent years, opinion mining and sentiment analysis has been one of the attracting topics of knowledge mining and natural language processing. The problem of rating aspects from textual reviews is an important task in this field. In this paper we propose a new method for rating product aspects as well as for identifying important aspects in general. Our proposed model is based on the least square method and the QR decomposition technique. In our experiment, we use a dataset of 594810 reviews of 3775 hotels collected from the very famous website in tourism tripadvisor.com with five common aspects including cleanliness, location, service, room and value. Experimental result shows that our proposed method outperforms some well known studies for the same problem.Duc Hong PhamAnh Cuong Lecuongla@vnu.edu.vn2015-12-28T02:59:23Z2015-12-28T02:59:23Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/1461This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/14612015-12-28T02:59:23ZA Least Square based Model for Rating Aspects and Identifying Important Aspects on Review Text DataOpinion mining and sentiment analysis has been one of the attracting topics of knowledge mining and natural language processing in recent years. The problem of rating aspects from textual reviews is an important task in this field. In this paper we propose a new method for rating product aspects as well as for identifying important aspects in general. Our proposed model is based on the least square method. The experiments are carried out on the data collected from hotel services with the aspects including the cleanliness, location, service, room, and value. We have obtained more accurate results than some well-known previous studies.Duc Hong PhamAnh Cuong Lecuongla@vnu.edu.vnThi Kim Chung Le2015-04-20T07:55:01Z2015-05-22T08:04:52Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/754This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/7542015-04-20T07:55:01ZParagraph Alignment for English-Vietnamese Parallel E-booksQuang Hung LeDuy Cuong NguyenDuc Hong PhamAnh Cuong Le