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 | Size | Format | |
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_file_ Restricted Access | 2.14 MB | Adobe PDF | ||
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