Sentiment analysis of online reviews based on BERT-BiLSTM-CBAM

Juan Chen; Ruyun Chen; Jialu Zhao

doi:10.1117/12.2636392

6 May 2022 Sentiment analysis of online reviews based on BERT-BiLSTM-CBAM

Juan Chen, Ruyun Chen, Jialu Zhao

Proceedings Volume 12176, International Conference on Algorithms, Microchips and Network Applications; 121762E (2022) https://doi.org/10.1117/12.2636392
Event: International Conference on Algorithms, Microchips, and Network Applications 2022, 2022, Zhuhai, China

Abstract

In this paper, a hybrid model based on BERT-BiLSTM-CBAM is proposed to classify the sentiment of online reviews more accurately. Firstly, the BERT model is used to pre-train the text information to obtain feature vectors; then the feature vectors obtained from Bert pre-training are stitched and reorganized through a bi-directional long and short-term memory network (BiLSTM) and CBAM mechanism to obtain new feature vectors. Finally, these new feature vectors are input to the fully connected layer, and the sentiment category of the text is calculated by the SoftMax function. Experiments on the Amazon reviews and Yelp reviews datasets show that the method is more accurate and reliable on both datasets.

Citation Download Citation

Juan Chen, Ruyun Chen, and Jialu Zhao "Sentiment analysis of online reviews based on BERT-BiLSTM-CBAM", Proc. SPIE 12176, International Conference on Algorithms, Microchips and Network Applications, 121762E (6 May 2022); https://doi.org/10.1117/12.2636392

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available