Using N-Gram Graphs for Sentiment Analysis: An Extended Study on Twitter-Reference-Cited by-同舟云学术

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Using N-Gram Graphs for Sentiment Analysis: An Extended Study on Twitter

Published:2016-03 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE Second International Conference on Big Data Computing Service and Applications (BigDataService)
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Author:

Aisopos Fotis,Tzannetos Dimitrios,Violos John,Varvarigou Theodora

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7474310/7474318/07474354.pdf?arnumber=7474354

Cited by 11 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. Social Media Data-Based Business Intelligence Analysis Model Using Deep Learning;International Journal of Information technology and Computer Engineering;2023-01-29

2. Sentiment Analysis of Text Reviews Using Lexicon-Enhanced Bert Embedding (LeBERT) Model with Convolutional Neural Network;Applied Sciences;2023-01-21

3. Fake News Detection Using Machine Learning and Deep Learning Methods;Computers, Materials & Continua;2023

4. Lexicon‐pointed hybrid N‐gram Features Extraction Model ( LeNFEM ) for sentence level sentiment analysis;Engineering Reports;2021-02-07

5. Practical Analysis of Representative Models in Classifier: A Review;Advances in Intelligent Systems and Computing;2020-08-14

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