Tweets similarity classification based on Machine Learning Algorithms, TF-IDF and the Dynamic Case Based Reasoning-Reference-Cited by-同舟云学术

Tweets similarity classification based on Machine Learning Algorithms, TF-IDF and the Dynamic Case Based Reasoning

Published:2023-05-24 Issue: Volume: Page:
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Container-title:Proceedings of the 6th International Conference on Networking, Intelligent Systems & Security
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Author:

Kouissi Mohamed¹^ORCID,En-Naimi El Mokhtar¹^ORCID,Zouhair Abdelhamid¹^ORCID

Affiliation:

1. Abdelmalek Essaâdi University, Faculty of Sciences and Technologies, Morocco

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3607720.3607796

Reference27 articles.

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2. Systematic literature review of sentiment analysis on Twitter using soft computing techniques

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4. Go Alec Richa Bhayani and Lei Huang. "Twitter sentiment classification using distant supervision." CS224N project report Stanford 1.12 (2009): 2009. Go Alec Richa Bhayani and Lei Huang. "Twitter sentiment classification using distant supervision." CS224N project report Stanford 1.12 (2009): 2009.

5. Elbagir Shihab and Jing Yang. "Twitter sentiment analysis using natural language toolkit and VADER sentiment." Proceedings of the international multiconference of engineers and computer scientists. Vol. 122. 2019. Elbagir Shihab and Jing Yang. "Twitter sentiment analysis using natural language toolkit and VADER sentiment." Proceedings of the international multiconference of engineers and computer scientists. Vol. 122. 2019.