Using Hybrid CNN-LSTM Model for Sentiment Analysis of COVID-19 Tweets-Reference-Cited by-同舟云学术

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Using Hybrid CNN-LSTM Model for Sentiment Analysis of COVID-19 Tweets

Published:2023-10-27 Issue: Volume: Page:
ISSN:
Container-title:2023 13th International Conference on Software Technology and Engineering (ICSTE)
language:
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Author:

Samonte Mary Jane C.¹,Dela Rosa Aderieyan Timothy G.¹,Rivera Lance Joshua C.¹,Silo John Shadrach E.¹

Affiliation:

1. Mapúa University,School of Information Technology,Makati City,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10366460/10366466/10366607.pdf?arnumber=10366607

Reference31 articles.

1. SNS Big Data Analysis Framework for COVID-19 Outbreak Prediction in Smart Healthy City

2. Sentiment Analysis Using Naive Bayes Algorithm Of The Data Crawler: Twitter

3. A survey on sentiment analysis methods, applications, and challenges

4. Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers

5. Natural language processing (NLP) in management research: A literature review

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