ASAnalyzer: Attention based Sentiment analyzer for Real-world Sentiment Analysis-Reference-Cited by-同舟云学术

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ASAnalyzer: Attention based Sentiment analyzer for Real-world Sentiment Analysis

Published:2023-12-11 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Frontiers of Information Technology (FIT)
language:
Short-container-title:

Author:

Hussain Khadim¹,Azhar Muhammad²,Lee Bumshik³,Iqbal Asma¹,Affan Muhammad⁴,Ullah Khan Sajid⁵

Affiliation:

1. Comsats University Islamabad,Department of Computer Science,Sahiwal,Pakistan

2. Hong Kong Shue Yan University,Department of Applied Data Science,Hong Kong

3. Chosun University,Department of Computer Science and Software Engineering,Korea

4. Tsinghua University,Department of Computer Science,China

5. University of Lakki Marwat,Department of Computer Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10410269/10410290/10410378.pdf?arnumber=10410378

Reference23 articles.

1. Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China

2. Sentiment Analysis of Covid-19 Tweets Using Evolutionary Classification-Based LSTM Model

3. Monitoring stance towards vaccination in twitter messages

4. Strategic Directions for Big Data Analytics in E-Commerce with Machine Learning and Tactical Synopses: Propositions for Intelligence Based Strategic Information Modeling (SIM)

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. IDRandom-Forest: Advanced Random Forest for Real-Time Intrusion Detection;IEEE Access;2024

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