Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/42133
Title: Improve CNN and LSTM in sentiment analysis for Vietnamese from data preprocessing phase
Authors: Nguyen, Ngọc Duy
Lưu, Ngọc Điệp
Keywords: Classification
CNN
Convolution Neural Network
Corpus
Deep Learning
Long Short Term Memory
LSTM
Opinion Mining
Sentiment Analysis
SVM
Issue Date: 2020
Series/Report no.: Tạp chí Công nghệ Thông tin và Truyền thông;Số 03,CS.01 .- Tr.24-30
Abstract: The deep learning method has achieved good results in many application fields, such as image Processing and Computer Vision. Recently, this method has also been used in the field of natural language Processing and has achieved good results too. In this area, an issue of concern is subjective opinion classification, A subjective opinion is an individuals thinking or judgment about a product or a socio-cultural event or issue. Subjective opinions have received attention from many producers and businesses who are interested in exploiting the opinions of the community and scientists.
URI: https://dspace.ctu.edu.vn/jspui/handle/123456789/42133
ISSN: 2525-2224
Appears in Collections:Khoa học Công nghệ Thông tin và Truyền thông

Files in This Item:
File Description SizeFormat 
_file_
  Restricted Access
2.14 MBAdobe PDF
Your IP: 18.191.195.110


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.