แจ้งเอกสารไม่ครบถ้วน, ไม่ตรงกับชื่อเรื่อง หรือมีข้อผิดพลาดเกี่ยวกับเอกสาร ติดต่อที่นี่ ==>
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
Watchareewan Jitsakul. Enhancing sentiment analysis using hybrid deep learning. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
Enhancing sentiment analysis using hybrid deep learning
Name: Watthana Ukaihongsar
Organization :
King Mongkut's University of Technology North Bangkok. Faculty of Information Technology and Digital Innovation
Email :
s6307021858104@email.kmutnb.ac.th
Name: Watchareewan Jitsakul
Organization :
King Mongkut's University of Technology North Bangkok. Faculty of Information Technology and Digital Innovation
Email :
watchareewan.j@itd.kmutnb.ac.th
keyword:
Sentiment classification
Abstract:
The objective of this research is to enhance sentiment analysis of digital
currency investors on twitter with hybrid deep learning. By using two deep
learning algorithms, which are Convolutional Neural Network (CNN) and Gated
Recurrent Unit (GRU) is called CNN-GRU. In this work, data from twitter textual
content in English languages and Thai languages 1,000 samples were divided into
positive message 500 samples and negative message 500 samples. Then prepare
data before modeling as tokenization by Attacut algorithm, lower case transformation,
stemmer and spilt data 70% to training data and 30% to testing data
and also compared by adjust parameters to measure the classification efficiency.
The experiment results showed that CNN-GRU was the best performance in the
classification of positive message and negative message with Word Embedding
Dimension 64, Number of Kernel 128 and Kernel Size 5, Memory 16, and recurrent
dropout 0.4. The best result of CNN-GRU was accuracy 82.67%, precision
0.84, recall 0.80, f-measure 0.83, and ROC 0.82.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2022
Modified:
2022-12-28
Issued:
2022-12-28
บทความ/Article
application/pdf
BibliograpyCitation :
In King Mongkut's University of Technology North Bangkok. Faculty of Information Technology. The 18th International Conference on Computing and Information Technology (IC2IT 2022) (pp.183-193). Cham, Switzerland : Springer
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.028613 วินาที
Watthana Ukaihongsar
| Title | Contributor | Type |
|---|---|---|
| Enhancing sentiment analysis using hybrid deep learning
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Watthana Ukaihongsar;Watchareewan Jitsakul | บทความ/Article |
Watchareewan Jitsakul
| Title | Contributor | Type |
|---|---|---|
| Enhancing sentiment analysis using hybrid deep learning
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Watthana Ukaihongsar;Watchareewan Jitsakul | บทความ/Article |