Research Article | Open Access | Download Full Text
Volume 3 | Issue 4 | Year 2024 | Article Id: DST-V3I4P104 DOI: https://doi.org/10.59232/DST-V3I4P104
Determination of Users’ Sentiments through Posts on Social Media
Giang Ma, Bao Chau, Anh Le, Quang Cao, Nhan Doan, Le Nong, Thanh Nguyen, Hai Tran
| Received | Revised | Accepted | Published |
|---|---|---|---|
| 08 Oct 2024 | 07 Nov 2024 | 01 Dec 2024 | 24 Dec 2024 |
Citation
Giang Ma, Bao Chau, Anh Le, Quang Cao, Nhan Doan, Le Nong, Thanh Nguyen, Hai Tran. “Determination of Users’ Sentiments through Posts on Social Media.” DS Journal of Digital Science and Technology, vol. 3, no. 4, pp. 26-40, 2024.
Abstract
In the booming technology industry nowadays, social media platforms are widely popular and used by almost everyone. With an enormous number of users, these platforms fully deliver a variety of posts on distinctive topics. As a result, many enterprises have decided to examine the feedback and analyze the sentiments of their customers through posts, videos, or casual conversations about their products or some service to capture the market’s actual needs. This article will show the research on a model created by the collaboration of Deep Learning (DL) and Recurrent Neural Network (RNN) algorithms, and Vietnamese texts and images are the datasets of this research. The performance was evaluated by Precision, Recall, Accuracy, and F1-Score, with the accuracy score for the text model at 94.45% and the image model at 90.87%.
Keywords
Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Deep Learning, Bidirectional Long-Short Term Memory (Bi-LSTM).
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