Sentiment Analysis of Twitter Messages using Word2vec by Weighted Average-Reference-Cited by-同舟云学术

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Sentiment Analysis of Twitter Messages using Word2vec by Weighted Average

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS)
language:
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Author:

Djaballah Kamel Ahsene,Boukhalfa Kamel,Boussaid Omar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8926314/8931711/08931827.pdf?arnumber=8931827

Cited by 21 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. Machine Learning-Facilitated Policy Intensity Analysis: A Proposed Procedure and Its Application;Social Indicators Research;2024-09-03

2. Hybrid Deep Learning-Based Approach for Enhanced Multi-Label Emotion Classification;2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS);2023-11-21

3. A Novel Security Algorithm RPBB31 for Securing the Social Media Analyzed Data using Machine Learning Algorithms;Wireless Personal Communications;2023-04-24

4. A user-oriented multi-input Sentiment Analysis and Feedback System for mental state awareness necessitated due to COVID-19;2022 IEEE 19th India Council International Conference (INDICON);2022-11-24

5. Sentiment Analysis based on word vector representation for short comments in Vietnamese language;2022 9th NAFOSTED Conference on Information and Computer Science (NICS);2022-10-31

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