BERT-Based Model for Aspect-Based Sentiment Analysis for Analyzing Arabic Open-Ended Survey Responses: A Case Study
Educational institutions typically gather feedback from beneficiaries through formal surveys. Offering open-ended questions allows students to express their opinions about matters that may not have been measured directly in closed-ended questions. However, responses to open-ended questions are typic...
Main Authors: | Khloud A. Alshaikh, Omaima A. Almatrafi, Yoosef B. Abushark |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10376061/ |
Similar Items
-
Arabic aspect sentiment polarity classification using BERT
by: Mohammed M. Abdelgwad, et al.
Published: (2022-12-01) -
BERT-Based Joint Model for Aspect Term Extraction and Aspect Polarity Detection in Arabic Text
by: Hasna Chouikhi, et al.
Published: (2023-01-01) -
Aspect Based Sentiment Analysis Marketplace Product Reviews Using BERT, LSTM, and CNN
by: Syaiful Imron, et al.
Published: (2023-06-01) -
Enhancing Arabic Aspect-Based Sentiment Analysis Using End-to-End Model
by: Ghada M. Shafiq, et al.
Published: (2023-01-01) -
Aspect-Based Sentiment Analysis in Hindi Language by Ensembling Pre-Trained mBERT Models
by: Abhilash Pathak, et al.
Published: (2021-10-01)