A Comparative Sentiment Analysis about HIV and AIDS on Twitter Tweets Using Supervised Machine Learning Approach-Reference-Cited by-同舟云学术

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A Comparative Sentiment Analysis about HIV and AIDS on Twitter Tweets Using Supervised Machine Learning Approach

Published:2023-06-23 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Computer Communication and the Internet (ICCCI)
language:
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Author:

Costales Jefferson A.¹,Lorico Edelita M.²,de Los Santos Christian M.³

Affiliation:

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

2. College of Computer Studies and Engineering, Jose Rizal University,Mandaluyong,Philippines

3. Research and Development, ReClaim Healthcare Administrative Services,Clark,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10210131/10210092/10210162.pdf?arnumber=10210162

Reference27 articles.

1. Sentiment Analysis Using AI: A Comparative Study Comparative Study of 5 Different Algorithms and Benchmarking Them with A Qualitative Analysis of Training time, Prediction time, and Accuracy

2. Multimodal Temporal Attention in Sentiment Analysis

3. Crowdsourcing based social awareness for taboo diseases like HIV/AIDS

4. Analyzing Disproportionate Reaction via Comparative Multilingual Targeted Sentiment in Twitter

5. A Comparative Sentiment Analysis On Bengali Facebook Posts

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identifying Sentiment in Legal Case Judgments using Random Forest Classifier;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

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