Sentiment Analysis of Student Evaluation of Teaching Based on Bi-LSTM Algorithm-Reference-Cited by-同舟云学术

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Sentiment Analysis of Student Evaluation of Teaching Based on Bi-LSTM Algorithm

Published:2023-10-13 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 15th International Conference on Advanced Infocomm Technology (ICAIT)
language:
Short-container-title:

Author:

Yuan Hongli¹,Hernandez Alexander A.²

Affiliation:

1. College of Computing and Information Technologies, National University, Manila, Philippines Big Data and Artificial Intelligence College, Anhui Xinhua University,Hefei,China

2. College of Computing and Information Technologies, National University,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10367211/10367195/10367267.pdf?arnumber=10367267

Reference24 articles.

1. Analyzing instructional design quality and students' reviews of 18 courses out of the Class Central Top 20 MOOCs through systematic and sentiment analyses

2. A Comparative Study on Vectorization and Classification Techniques in Sentiment Analysis to Classify Student-Lecturer Comments

3. Visualizing Student Opinion Through Text Analysis

4. Sentiment analysis and opinion mining on educational data: A survey

同舟云学术

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